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711 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
tanreinama
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f56174ac5b
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add GPTSAN model (reopen) (#21291)
* add GPTSAN-Japanese * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN (update for review) * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * fix typo in comment text * add GPTSAN * add GPTSAN * add GPTSAN * add GPTSAN * fix document and comments * fix class name GPTSAN->GPTSan * fix import and test for tokenizer |
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Arthur
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c236a62172
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[CLAP] Add CLAP to the library (#21370)
* add model like clip * update * text model ok * clap text works * some refactor - `CLAPVision` to `CLAPAudio` - refactor kwargs of audio modules * more refactor * more refactor * more refactor * correct fusion * more refactor * new modules * add basic processor * fixup * remove whisper copioed from * audio logits match * add doc * correct filters mel and add maxlength * style * few fixes * forward passes * fixup * fixup * some clean up * remove mels form the dictionnary * pad after the repeat * update padding when dsmaller * fix padding * style * use swin patch merging * use copied from swin * processor with any tokenizer * more copied from * some clean up * more refactor * fix mel when rand_trunc * style * remove unused imports * update processing * remove image processing tests * add testing fiel * fixmodeling issues * replace with `is_longer` * clap in serialization * more refactor * `make fixup` * make fixup * fix feature extractor * update test feature extractor * `make fixup` * clean up config * more clean up * more cleanup * update tests * refactor tests and inits * removeCLAP vision config * remove CLAP from image procssing auto and dummy vision objects * update inits * style * re order classes in modeling clap * Use roberta tokenizer as the other weights are not open sourced * small cleaup * remove tokenization CLAP * processor tokenizr is roberta * update feature extraction doc * remove vclap from model zero shot * update f_min and f_max to frequency_xx * some changes - fix modeling keys - add `is_longer` in the forward pass - make fixup * make fixup * consistent behavior ebtween rand_crop and fusion * add numpy resize and bilinear and documentation * move resizing to image utils * clean feature extraction * import resize from correct file * resize in image transforms * update * style * style * nit * remove unused arguments form the feature extractor * style * few fixes + make fixup * oops * fix more tests * add zero shot audio classification pipeline * update zeroshot classification pipeline * fixup * fix copies * all CI tests pass * make fixup + fix docs * fix docs * fix docs * update tests pip;eline * update zero shot pipeline * update feature extraction clap * update tokenization auto * use nested simplify * update pipeline tests * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * split in two lines * fixes * refactor * clean up * add integration tests * update config docstring * style * update processor * fix processor test * fix feat extractor tests * update docs * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix readmes * fix tips * Update src/transformers/models/auto/configuration_auto.py * update doc and remove todo -> properly explained * fix idx and typo * typoe * cleanup config * cleanup tests, styles and doc * ignore docstyle on image transform * add conversion script * remove the `clap` indx in favor of `CLAP` * update __init * nits * Update src/transformers/pipelines/__init__.py * fix bug * clarifiy config * fix copy * fix init * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model output * fix comment * make fixup * make fixup * rename to `Clap` * replace to `Clap` * replace to `Clap` * repo consistency * again repo-consistency * make fixup * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add config * changes * update conversion * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * remove unused function * update based on code reviews * style * more comments * cleanup * clean up * style * apply suggestions * Empty commit * pipeline will be added in a different PR * update calls to audio utils functions * update pipeline init * style * style * styling again * use pad * fix repo-consistency * update utils and add doc for audio utils * clean up resize by using torch. update inits accordingly * style * CLap's tokenizer is RobertA * add audio utils to internal toctreee * update totctree * style * update documentation and normalize naming accross audio utils and feature extraction clap * style * clean up * update doc and typos * fix doctest * update modelin code, got rid of a lot of reshaping * style on added doc audio utils * update modeling clap * style * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * docstringvariables with CLAP * rename key * update modeling CLAP * update audio utils docstring * update processing clap * fix readmes * fix toctree * udpate configuration clap * fix init * make fixup * fix * fix * update naming * update * update checkpoint path * Apply suggestions from code review * Major refactoring * Update src/transformers/models/clap/configuration_clap.py * merge --------- Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Zineng Tang
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a0e69a9375
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Add TVLT (#20725)
* Update image_processing_tvlt.py * Update modeling_tvlt.py * Update * Update modeling_tvlt.py * Create tvlt.mdx * Update configuration_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update image_processing_tvlt.py * Update feature_extraction_tvlt.py * Update tvlt models * Update tests * Update * Update * Update tests * Update README_ko.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update tvlt.mdx * Update modeling_tvlt.py * Update configuration_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Add files via upload * Update model * Update modeling_tvlt.py * Update tvlt models * Update src/transformers/models/tvlt/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/__init__.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add files via upload * Add files via upload * Delete modeling_tvlt.py * Delete feature_extraction_tvlt.py * Delete configuration_tvlt.py * Delete image_processing_tvlt.py * Delete processing_tvlt.py * Update tvlt * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README_es.md * Update README_hd.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update README_zh-hant.md * Update index.mdx * Update tvlt.mdx * Update tvlt.mdx * Update configuration_tvlt.py * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update modeling_tvlt.py * Add files via upload * Update tvlt.mdx * Update modeling_auto.py * Add files via upload * Add files via upload * Update dummy_pt_objects.py * Update __init__.py * Update feature_extraction_tvlt.py * Update feature_extraction_tvlt.py * Update image_processing_tvlt.py * Update modeling_auto.py * Update test_feature_extraction_tvlt.py * Update test_processor_tvlt.py * Update test_feature_extraction_tvlt.py * Add files via upload * Update test_image_processor_tvlt.py * Update tests/models/tvlt/test_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_image_processor_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update feature_extraction_tvlt.py * Update feature_extraction_tvlt.py * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update image_processing_tvlt.py * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update test_image_processor_tvlt.py * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/tvlt/test_modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add files via upload * Add files via upload * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Add files via upload * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update image_processing_tvlt.py * Add files via upload * Add files via upload * Update tvlt.mdx * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Add files via upload * Add files via upload * Add files via upload * Add files via upload * Update modeling_auto.py * Update tvlt.mdx * Update dummy_pt_objects.py * Update feature_extraction_tvlt.py * Update modeling_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_image_processor_tvlt.py * Update test_feature_extraction_tvlt.py * Update modeling_tvlt.py * Update dummy_pt_objects.py * Update dummy_speech_objects.py * Add files via upload * Update README_hd.md * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update src/transformers/models/tvlt/configuration_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/feature_extraction_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/image_processing_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update MAE processing * Update modeling_tvlt.py * Update modeling_tvlt.py * Update modeling * Update style * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/modeling_tvlt.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update check_repo.py * Update tvlt.mdx * Update __init__.py * Update tests * Update tvlt models * Update configuration_tvlt.py * Update configuration_tvlt.py * Update image_processing_tvlt.py * Update dummy_pt_objects.py * Add files via upload * Update test_modeling_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py * Update test_feature_extraction_tvlt.py --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> |
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Susnato Dhar
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0c9c8472e6
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Add Ernie-M Model to huggingface (#21349)
* config and tokenization(fast too) changed and ErnieEncoder added * Slow Tokenization Added * Tokenizer(slow) is now working and Fast Tokenizer removed * Added Config code * Added Base Model and utils * ErnieMModel is now working * All added except tests * All tests passed except ErnieUIEM * All tests passed * all fixes done * all fixes done * fixed MAP * fixed check_code_quality * fixed Build PR Documentation issue * Added changes(comments) and also updated to the latest upstream/main * Added fixup * Added # Copied comments * Added fixup * Added more comments and some nits * Added fixup * Fixed README_hd.md * Added more fixes * ErnieMTokenizer (being sentencepiece) protected and other docs edited * Added code_quality fix * Fixed for * Added more fix * modified AZ * ernie-m tokenization test added! * attention mask part fixed(with 0->self.config.pad_token_id) * applied make fixup |
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Jannis Vamvas
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b0d539ccad
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Add X-MOD (#20939)
* Add X-MOD to Readme * Add documentation for X-MOD * Implement X-MOD * Fix formatting of X-MOD docs * Change signature of X-MOD forward methods to use lang_ids * Minor changes * Rebase with main and run make fix-copies * Make suggested changes to docstrings * Improve code readability Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Fix code style * Conversion script: Remove asserts and type annotations * Remove _TOKENIZER_FOR_DOC * XMOD -> Xmod * Update copyright note * Fix doctests * Fix docstring * Add integration test for FillMaskPipeline * Revert "Add integration test for FillMaskPipeline" This reverts commit 4381eb3b1d0f5d85785f89caba83928e6efa6d1f. * Add end-to-end integration test for mask fill * make style * Rebase with main and make fix-copies --------- Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> |
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NielsRogge
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d7f1e7c009
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Add BLIP-2 (#21441)
* First draft * More improvements * More improvements * Improve conversion script * Convert all weights * Make forward pass work * Make logits match * More improvements * More improvements * More improvements * Use get_input_embeddings * Improve some more * Improve model tests * Improve model tests * More improvements * Fix processor * Update files * Update prepare_inputs_for_generation * More improvements * Fix copies * More fixes * Make fixup * More improvements * Add support for seq2seq language model * More improvements * Fix test * More improvements * Improve conversion script * Remove some todo's * Fix README's * Improve conversion script * Fix generation * Fix style and remove Blip2Model * Fix model outputs * More improvements * Set eos_token_id in config * Fix quality * Small improvements * Add processor tests * More improvements * Apply suggestions * Apply suggestions * Add integration test * Update image URL * Add integration test * Fix model_type * Update style * Improve docs * Add doc tests * Fix copies * Remove tests which are passing * Improve some more * Add tests for seq2seq language models * Minor fix * Convert more checkpoints * finalize CI * Fix blip and blip2 processors * add `accelerate` support for `blip2` * clean up * make style * Update conversion script * Update conversion script some more * Update organization * revert toc file * add blip-2 to toc file * Some more improvements * Fix docstring * Improve docs --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: younesbelkada <younesbelkada@gmail.com> |
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Stefan Schweter
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7e51a441e4
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Add XLM-V to Model Doc (#21498)
* doc: introduce new section for XLM-V model * doc: mention more details for XLM-V integration * docs: paper abstract in italics, model identifier for base model added * doc: mention new XLM-V support * auto: add XLM-V mapping * doc: run make fix-copies ;) |
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Matthijs Hollemans
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e4bacf6614
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[WIP] add SpeechT5 model (#18922)
* make SpeechT5 model by copying Wav2Vec2 * add paper to docs * whoops added docs in wrong file * remove SpeechT5Tokenizer + put CTC back in the name * remove deprecated class * remove unused docstring * delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead * remove classes we don't need right now * initial stab at speech encoder prenet * add more speech encoder prenet stuff * improve SpeechEncoderPrenet * add encoder (not finished yet) * add relative position bias to self-attention * add encoder CTC layers * fix formatting * add decoder from BART, doesn't work yet * make it work with generate loop * wrap the encoder into a speech encoder class * wrap the decoder in a text decoder class * changed my mind * changed my mind again ;-) * load decoder weights, make it work * add weights for text decoder postnet * add SpeechT5ForCTC model that uses only the encoder * clean up EncoderLayer and DecoderLayer * implement _init_weights in SpeechT5PreTrainedModel * cleanup config + Encoder and Decoder * add head + cross attention masks * improve doc comments * fixup * more cleanup * more fixup * TextDecoderPrenet works now, thanks Kendall * add CTC loss * add placeholders for other pre/postnets * add type annotation * fix freeze_feature_encoder * set padding tokens to 0 in decoder attention mask * encoder attention mask downsampling * remove features_pen calculation * disable the padding tokens thing again * fixup * more fixup * code review fixes * rename encoder/decoder wrapper classes * allow checkpoints to be loaded into SpeechT5Model * put encoder into wrapper for CTC model * clean up conversion script * add encoder for TTS model * add speech decoder prenet * add speech decoder post-net * attempt to reconstruct the generation loop * add speech generation loop * clean up generate_speech * small tweaks * fix forward pass * enable always dropout on speech decoder prenet * sort declaration * rename models * fixup * fix copies * more fixup * make consistency checker happy * add Seq2SeqSpectrogramOutput class * doc comments * quick note about loss and labels * add HiFi-GAN implementation (from Speech2Speech PR) * rename file * add vocoder to TTS model * improve vocoder * working on tokenizer * more better tokenizer * add CTC tokenizer * fix decode and batch_code in CTC tokenizer * fix processor * two processors and feature extractors * use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2 * cleanup * more cleanup * even more fixup * notebooks * fix log-mel spectrograms * support reduction factor * fixup * shift spectrograms to right to create decoder inputs * return correct labels * add labels for stop token prediction * fix doc comments * fixup * remove SpeechT5ForPreTraining * more fixup * update copyright headers * add usage examples * add SpeechT5ProcessorForCTC * fixup * push unofficial checkpoints to hub * initial version of tokenizer unit tests * add slow test * fix failing tests * tests for CTC tokenizer * finish CTC tokenizer tests * processor tests * initial test for feature extractors * tests for spectrogram feature extractor * fixup * more fixup * add decorators * require speech for tests * modeling tests * more tests for ASR model * fix imports * add fake tests for the other models * fixup * remove jupyter notebooks * add missing SpeechT5Model tests * add missing tests for SpeechT5ForCTC * add missing tests for SpeechT5ForTextToSpeech * sort tests by name * fix Hi-Fi GAN tests * fixup * add speech-to-speech model * refactor duplicate speech generation code * add processor for SpeechToSpeech model * add usage example * add tests for speech-to-speech model * fixup * enable gradient checkpointing for SpeechT5FeatureEncoder * code review * push_to_hub now takes repo_id * improve doc comments for HiFi-GAN config * add missing test * add integration tests * make number of layers in speech decoder prenet configurable * rename variable * rename variables * add auto classes for TTS and S2S * REMOVE CTC!!! * S2S processor does not support save/load_pretrained * fixup * these models are now in an auto mapping * fix doc links * rename HiFiGAN to HifiGan, remove separate config file * REMOVE auto classes * there can be only one * fixup * replace assert * reformat * feature extractor can process input and target at same time * update checkpoint names * fix commit hash |
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NielsRogge
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5451f8896c
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Add DETA (#20983)
* First draft * Add initial draft of conversion script * Convert all weights * Fix config * Add image processor * Fix DetaImageProcessor * Run make fix copies * Remove timm dependency * Fix dummy objects * Improve loss function * Remove conv_encoder attribute * Update conversion scripts * Improve postprocessing + docs * Fix copied from statements * Add tests * Improve postprocessing * Improve postprocessing * Update READMEs * More improvements * Fix rebase * Add is_torchvision_available * Add torchvision dependency * Fix typo and README * Fix bug * Add copied from * Fix style * Apply suggestions * Fix thanks to @ydshieh * Fix another dependency check * Simplify image processor * Add scipy * Improve code * Add threshold argument * Fix bug * Set default threshold * Improve integration test * Add another integration test * Update setup.py * Address review * Improve deformable attention function * Improve copied from * Use relative imports * Address review * Replace assertions * Address review * Update dummies * Remove dummies * Address comments, update READMEs * Remove custom kernel code * Add image processor tests * Add requires_backends * Add minor comment * Update scripts * Update organization name * Fix defaults, add doc tests * Add id2label for object 365 * Fix tests * Update task guide |
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Anahita Bhiwandiwalla
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3a6e4a221c
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Add BridgeTower model (#20775)
* Commit with BTModel and latest HF code * Placeholder classes for BTForMLM and BTForITR * Importing Bert classes from transformers * Removed objectives.py and dist_utils.py * Removed swin_transformer.py * Add image normalization, BridgeTowerForImageAndTextRetrieval * Add center_crop * Removing bert tokenizer and LCI references * Tested config loading from HF transformers hub * Removed state_dict updates and added path to hub * Enable center crop * Getting image_size from config, renaming num_heads and num_layers * Handling max_length in BridgeTowerProcessor * Add BridgeTowerForMaskedLM * Add doc string for BridgeTowerConfig * Add doc strings for BT config, processor, image processor * Adding docs, removed swin * Removed convert_bridgetower_original_to_pytorch.py * Added doc files for bridgetower, removed is_vision * Add support attention_mask=None and BridgeTowerModelOutput * Fix formatting * Fixes with 'make style', 'make quality', 'make fixup' * Remove downstream tasks from BridgeTowerModel * Formatting fixes, add return_dict to BT models * Clean up after doc_test * Update BTModelOutput return type, fix todo in doc * Remove loss_names from init * implement tests and update tuples returned by models * Add image reference to bridgetower.mdx * after make fix-copies, make fixup, make style, make quality, make repo-consistency * Rename class names with BridgeTower prefix * Fix for image_size in BTImageProcessor * implement feature extraction bridgetower tests * Update image_mean and image_std to be list * remove unused import * Removed old comments * Rework CLIP * update config in tests followed config update * Formatting fixes * Add copied from for BridgeTowerPredictionHeadTransform * Update bridgetower.mdx * Update test_feature_extraction_bridgetower.py * Update bridgetower.mdx * BridgeTowerForMaskedLM is conditioned on image too * Add BridgeTowerForMaskedLM * Fixes * Call post_init to init weights * Move freeze layers into method * Remove BTFeatureExtractor, add BT under multimodal models * Remove BTFeatureExtractor, add BT under multimodal models * Code review feedback - cleanup * Rename variables * Formatting and style to PR review feedback * Move center crop after resize * Use named parameters * Style fix for modeling_bridgetower.py * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Rename config params, copy BERT classes, clean comments * Cleanup irtr * Replace Roberta imports, add BTTextConfig and Model * Update docs, add visionconfig, consistent arg names * make fixup * Comments for forward in BTModel and make fixup * correct tests * Remove inconsistent roberta copied from * Add BridgeTowerTextModel to dummy_pt_objects.py * Add BridgeTowerTextModel to IGNORE_NON_TESTED * Update docs for BT Text and Vision Configs * Treat BridgeTowerTextModel as a private model * BridgeTowerTextModel as private * Run make fix-copies * Adding BTTextModel to PRIVATE_MODELS * Fix for issue with BT Text and Image configs * make style changes * Update README_ja.md Add から to BridgeTower's description * Clean up config, .mdx and arg names * Fix init_weights. Remove nn.Sequential * Formatting and style fixes * Re-add tie_word_embeddings in config * update test implementation * update style * remove commented out * fix style * Update README with abs for BridgeTower * fix style * fix mdx file * Update bridgetower.mdx * Update img src in bridgetower.mdx * Update README.md * Update README.md * resolve style failed * Update _toctree.yml * Update README_ja.md * Removed mlp_ratio, rename feats, rename BTCLIPModel * Replace BTCLIP with BTVisionModel,pass in vision_config to BTVisionModel * Add test_initialization support * Add support for output_hidden_states * Update support for output_hidden_states * Add support for output_attentions * Add docstring for output_hidden_states * update tests * add bridgetowervisionmodel as private model * rerun the PR test * Remove model_type, pass configs to classes, renames * Change self.device to use weight device * Remove image_size * Style check fixes * Add hidden_size and num_hidden_layers to BridgeTowerTransformer * Update device setting * cosmetic update * trigger test again * trigger tests again * Update test_modeling_bridgetower.py trigger tests again * Update test_modeling_bridgetower.py * minor update * re-trigger tests * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove pad, update max_text_len, doc cleanup, pass eps to LayerNorm * Added copied to, some more review feedback * make fixup * Use BridgeTowerVisionEmbeddings * Code cleanup * Fixes for BridgeTowerVisionEmbeddings * style checks * re-tests * fix embedding * address comment on init file * retrigger tests * update import prepare_image_inputs * update test_image_processing_bridgetower.py to reflect test_image_processing_common.py * retrigger tests Co-authored-by: Shaoyen Tseng <shao-yen.tseng@intel.com> Co-authored-by: Tiep Le <tiep.le@intel.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com> |
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Sylvain Gugger
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7119bb052a
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v4.27.0.dev0 | ||
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Bartosz Szmelczynski
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1b37fb5e17
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Efficientformer (#20459)
- Adds EfficientFormer V1 to transformers - PR co-authored by @novice03 and @Bearnardd Co-authored-by: novice <pranavpulijala@gmail.com> Co-authored-by: novice <44259234+novice03@users.noreply.github.com> |
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Clémentine Fourrier
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87208a05af
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Graphormer model for Graph Classification (#20968)
* [FT] First commit for graphormer architecture. The model has no tokenizer, as it uses a collator and preprocessing function for its input management. Architecture to be tested against original one. The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read. TODO: doc * [FIX] removed test model * [FIX] import error * [FIX] black and flake * [DOC] added paper refs * [FIX] [DOC] * [FIX] black * [DOC] Updated READMEs * [FIX] Order of imports + rm Tokenizer calls * [FIX] Moved assert in class to prevent doc build failure * [FIX] make fix-copies * [Doc] update from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [FIX] Removed Graphormer from Sequence classification model list * [DOC] Added HF copyright to Cython file * [DOC] Fixed comments * [FIX] typos in class doc + removed config classes. Todo: update doc from paper definitions * [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management * [FIX] Homogeneized initialization of weights to pretrained constructor * [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation * [DOC] Relevant parameter description in the configuration file * [DOC] Updated doc and comments in main graphormer file * [FIX] make style and quality checks * [DOC] Fix doc format * [FIX] [WIP] Updated part of the tests, though still a wip * [FIX] [WIP] * [FIX] repo consistency * [FIX] Changed input names for more understandability * [FIX] [BUG] updated num_classes params for propagation in the model * simplified collator * [FIX] Updated tests to follow new naming pattern * [TESTS] Updated test suite along with model * |FIX] rm tokenizer import * [DOC] add link to graphormerdoc * Changed section in doc from text model to graph model * Apply suggestions from code review Spacing, inits Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [DOC] Explain algos_graphormer functions * Cython soft import protection * Rm call to Callable in configuration graphormer * [FIX] replaced asserts with Exceptions * Add org to graphormer checkpoints * Prefixed classes with Graphormer * Management of init functions * format * fixes * fix length file * update indent * relaunching ci * Errors for missing cython imports * fix style * fix style doc Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Jitesh Jain
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5b949623c7
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Add OneFormer Model (#20577)
* Add Oneformer Model * Add OneFormer Tests * Add UNIVERSAL_SEGMENTATION_MAPPING * Fix config * 🐛 Fix error encountered while writing tests * 🔨 Fix instance segmentation post processing * Format Files and Add Documentation * Add Documentation mdx file * Run make fixup * Run make fix-copies * Remove unnecessary code * Format modeling_oneformer.py * Add OneFormer to ImageSegmentationPipeline * Format files * Add Demo link to Readme * Fix fomatting errors * Fix test failures * Update Table in index.mdx * Fix version * Fix style * Remove OneFormer from TF * Fix Imports * Fix dummy objects * Fix tests * Add newline * Remove OneFormerFeatureExtractor * Remove CUDA Kernels * Use AutoBackbone for Swin * Fix description * Use Image Processor * Fix copies * Fix formatting * Fix import order * Fix flake8 errors * Fix doc errors * Add Hindi Readme entry * Update supported backbones * Update supported backbones * Undo Changes * Fix type of config * Fix isort * Fix auto.mdx * Fix swin config * Replace DinatBackbone with AutoBackbone * Use SwinBackbone * Use SwinBackbone * Fix conversion script * Fix arguments * Add argument description * Fix style * Add OneFormerProcessor * Fix OneFormerProcessor Tests * Fix mapping * Fix imports * Fix inits * Fix style * Fix comment * Fix docstring * Move OneFormer to MultiModal * Fix Copies * Remove size divisor * Fix check_repo.py * Fix copies * Add Processor for Testing Pipeline * Fix padding for tokens * Fix variables * Fix formatting with correct black version * Add Image Processor Test * Apply suggestions * Revert common modeling * Add check for task * Fix conversion script * Fix initialization order * Fix tests * Undo Pipeline Changes * Fix layers in MLP * Fix copies * Update image paths * Fix copies * Apply suggestions |
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NielsRogge
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cf028d0c3d
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Add batch of resources (#20647)
* Add resources * Add more resources * Add more resources * Add TAPAS * Fix pipeline tag * Fix pipeline tags * Remove pipeline tag * Remove depth-estimation tag * Update docs/source/en/model_doc/segformer.mdx Co-authored-by: Maria Khalusova <kafooster@gmail.com> * Apply suggestion * Fix segformer Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Maria Khalusova <kafooster@gmail.com> |
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Alara Dirik
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2411f0e465
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Add Mask2Former (#20792)
* Adds Mask2Former to transformers Co-authored-by: Shivalika Singh <shivalikasingh95@gmail.com> Co-authored-by: Shivalika Singh <73357305+shivalikasingh95@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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4ed89d48ab
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Add UperNet (#20648)
* First draft * More improvements * Add convnext backbone * Add conversion script * Add more improvements * Comment out to_dict * Add to_dict method * Add default config * Fix config * Fix backbone * Fix backbone some more * Add docs, auto mapping, tests * Fix some tests * Fix more tests * Fix more tests * Add conversion script * Improve conversion script * Add support for getting reshaped undownsampled hidden states * Fix forward pass * Add print statements * Comment out set_shift_and_window_size * More improvements * Correct downsampling layers conversion * Fix style * First draft * Fix conversion script * Remove config attribute * Fix more tests * Update READMEs * Update ConvNextBackbone * Fix ConvNext tests * Align ConvNext with Swin * Remove files * Fix index * Improve docs * Add output_attentions to model forward * Add backbone mixin, improve tests * More improvements * Update init_weights * Fix interpolation of logits * Add UperNetImageProcessor * Improve image processor * Fix image processor * Remove print statements * Remove script * Update import * Add image processor tests * Remove print statements * Fix test * Add integration test * Add convnext integration test * Update docstring * Fix README * Simplify config * Apply suggestions * Improve docs * Rename class * Fix test_initialization * Fix import * Address review * Fix confg * Convert all checkpoints * Fix default backbone * Usage same processor as segformer * Apply suggestions * Fix init_weights, update conversion scripts * Improve config * Use Auto API instead of creating a new image processor * Fix docs * Add doctests * Remove ResNetConfig dependency * Add always_partition argument * Fix rebaseé * Improve docs * Convert checkpoints Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain> |
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İdil Sülo
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926452298d
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Fix model hub link (#20998) | ||
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Jongjyh
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ce85686a1f
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Add AltCLIP (#20446)
* add altclip * update * fix wrong title * fix the copyright in readme * add altclip model * add altclip * fix test_gradient_checkpointing_enable_disable * code * add return class * add projection_state * "fix pretrained model bug" * delete print and fix 2 test instances. * delete token * rm xlmr * one model one file. * empty commit to trigger CI * Fix modeling_outputs.py * Fix __init__ * Fix quality * Fix modeling file docstring * Fix README.md * Fix test file * add vision model * empty commit to trigger CI * fix * fix * fix * fix * fix * fix * fix * fix * fix * del token in mdx file * fix * fix * fix * remove altrob from test list * add vision test * fix fx * fix * fix * fix * trigger CI * fix copies * fix tests * fix style * fix quality * update * recover import * recover * add , * recover * fix copies * trigger CI * fix * some of review * update * remove import * last 2 * fix * fix style * fix style * fix bug * fix uncomment * fix * update * fix * second review * empty commit to trigger CI * empty commit to trigger CI * fix position * fix * empty commit to trigger CI * empty commit to trigger CI * third comment * Update docs/source/en/model_doc/altclip.mdx Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update docs/source/en/model_doc/altclip.mdx Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/configuration_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/modeling_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/processing_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update src/transformers/models/altclip/modeling_altclip.py Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> * fix merge * fix copies * update * update * empty commit to trigger CI * fix code example * empty commit to trigger CI * fix * empty commit to trigger CI * empty commit to trigger CI Co-authored-by: shunxing1234 <xw747777271@gmail.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: shunxing1234 <33774367+shunxing1234@users.noreply.github.com> Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com> |
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NielsRogge
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9c6f7485a6
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Add GIT (GenerativeImage2Text) (#20295)
* First draft * Make model instantiation work * Fix copied from statement * More fixes * Add correct output head * Improve configuration * Add conversion script * Improve conversion script * Remove token_type_ids * Fix conversion of projection layers * Convert all weights * Use cats image * Make logits match * Generate caption on cats image * Add GITProcessor * Update conversion script * Add support for more checkpoints * Fix conversion script * Add initial tests * Remove cross-attention * More improvements * Remove is_decoder * Improve model tests * Improve tests * Improve model outputs * Fix model outputs equivalence * Fix more tests * Remove unused code * Use generate to generate text, no use of cache for now * Use generate more appropriately * Fix config tests * Fix style * Add support for use_cache Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Fix style * Fix GIT vision encoder * Update README * Fix integration test * Set bos and eos token ids * Improve docs * Improve code * Add support for provided attention_mask * Add copied from statement * Fix gradient checkpointing test * Set model_input_names * Investigate model_input_names * Remove script * Fix model inputs * Fix docstring * Rename GIT to Git * Support more models * Add support for textvqa model * Add video support * Extend conversion script for video * Add support for large variant * Add support for more models * Fix config archive map * Update integration test * Fix README * Fix CLIP mean and std * Update processor * Fix use_cache for video, thanks @gante * Remove print statements * Remove assertion * Add processor tests * Fix model_input_names * Use Auto API for processor * Fix processor tests * Fix integration test * Fix pipeline test * Make tests faster * Update conversion script * Update conversion script * Convert more checkpoints * Update conversion script * Fix typo * Update docstrings * Improve code snippets * Fix doc tests * Add more code examplesé * Fix doc tests * Add integration tests * Fix unused variable * revert * Add GIT to Japanese README Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Younes Belkada
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0d284bd574
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Add BLIP (#20716)
* add new model like * add v1 * v1 * v1 * vision encoder logits match * v2 * fix * add docstring * CI tests pass * fix tests * make fixup * add to `toctree` * fix processors * fix processors * fix doc * fill title * add content doc * remove from tokenization auto * fix config * change order * add `# Copied from` * few fixes - add correct license on modeling text - remove dummy argument * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * replace name * refactor a bit * more refactor * remove unused arg * make fixup + remove some `# Adapted from ...` * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * more `# Copied from` * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * now `generate` supports no prefix * remove `FeatureExtractor` * fix path * correct dependency * fix tests * few fixes * add integration tests * add correct conversion script * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add `blip` to tokenization auto * fix docstrings * fix test + add image * remove processor from uncorrect place * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * clean up a bit * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * clean pixel mask * clean pixel mask * fix `F` * Update src/transformers/models/blip/modeling_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix output * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix pad token id * remove `token_type_ids` * make fixup * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * make fixup * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add comments * Update src/transformers/models/blip/modeling_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * remove `token_type_ids` * make fixup * better name * replace with `image_attention_mask` * refactor * make fixup * better docstring * replace `answer_xx` * remove ununsed args * add `labels` * add `labels` * fix processing tests * make fixup * make fixup * put correct repo * remove `pad` * remove `crop` and `center_crop` * Update src/transformers/models/blip/image_processing_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix * remove `size_divisor` * fix weights `init` * remove unneeded functions * add suggestions * minor changes - change slow test output for PT 1.13 - docstring order * replace `feature_extractor` by `image_processor` * fix doctests * fix weight init order + add fp16 slow test * add `blip` to doctest * add correct repo name and fix test * Update src/transformers/models/blip/processing_blip.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix tests * use `convert_to_rgb` from `image_transforms` * make fixup * fix large loading issue Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Andreas Madsen
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b4b613b102
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Implement Roberta PreLayerNorm (#20305)
* Copy RoBERTa * formatting * implement RoBERTa with prelayer normalization * update test expectations * add documentation * add convertion script for DinkyTrain weights * update checkpoint repo Unfortunately the original checkpoints assumes a hacked roberta model * add to RoBERTa-PreLayerNorm docs to toc * run utils/check_copies.py * lint files * remove unused import * fix check_repo reporting wrongly a test is missing * fix import error, caused by rebase * run make fix-copies * add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS * Fix documentation <Facebook> -> Facebook Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup: Fix documentation <Facebook> -> Facebook Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Add missing Flax header Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * expected_slice -> EXPECTED_SLICE Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * update copies after rebase * add missing copied from statements * make fix-copies * make prelayernorm explicit in code * fix checkpoint path for the original implementation * add flax integration tests * improve docs * update utils/documentation_tests.txt * lint files * Remove Copyright notice Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make fix-copies * Remove EXPECTED_SLICE calculation comments Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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26dd041c6e
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Add Swin2SR (#19784)
* First draft * Add more improvements * Improve forward pass * Fix layernorm * Add upscaler * More improvements * More improvements * More improvements * Improve conversion script * Add preprocessing * Make output match original implementation * Add additional attributes * Add support for more models * Support more models * Add support for real world sr * Add initial Swin2SRFeatureExtractor * Add ImageSuperResolutionOutput * Make more tests pass * Use BaseModelOutput * Fix one more test * Fix more tests * Fix another test * Fix all tests * Rename to Swin2SRImageProcessor * Fix toctree * Fix toctree * Fix rebase * Improve Swin2SRImageProcessor * Remove feature extractor file * Improve model * Improve conversion script * Fix integration test * Fix init * Fix conversion script * Address comments * Improve upsampler * Add NearestConvUpsampler * Improve pixel shuffle upsampler * Improve auxiliary upsampler * Improve conversion script * Rename conv_last to final_convolution * Fix rebase * Improve upsample module * Add padding to image processor * Fix bug * Update padding * Remove print statement and fix integration test * Improve docs * Add image processor tests * Convert all checkpoints, fix testsé * Remove print statements * Fix import Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Ariel Ekgren
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5f94855dc3
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Add gpt-sw3 model to transformers (#20209)
* Add templates for gpt-sw3 * Add templates for gpt-sw3 * Added sentencepiece tokenizer * intermediate commit with many changes * fixed conflicts * Init commit for tokenization port * Tokenization progress * Remove fast tokenizer * Clean up and rename spm.model -> spiece.model * Remove TF -> PT conversion script template, Clean up Megatron -> PT script * Optimize encode & decode performance * added new attention * added new attention * attention for gpt-sw3 working * attention good * Cache is now working * fixed attention mask so that it works with causal attention * fixed badbmm bug for cpu and caching * updated config with correct parameters * Refactor and leave optimizations as separate functions to avoid breaking expected functionality * Fix special tokens mapping for both tokenizers * cleaning up of code and comments * HF compatible attention outputs * Tokenizer now passing tests, add documentation * Update documentation * reverted back to base implementation after checking that it is identical to pretrained model * updated gpt-sw3 config * updated conversion script * aligned parameters with gpt-sw3 config * changed default scale_attn_by_inverse_layer_idx to true * removed flag from conversion script * added temporary model path * reverted back to functioning convert script * small changes to default config * updated tests for gpt-sw3 * make style, make quality, minor cleanup * Change local paths to testing online repository * Change name: GptSw3 -> GPTSw3 * Remove GPTSw3TokenizerFast references * Use official model repository and add more model sizes * Added reference to 6.7b model * Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel * Remove pointers to non-existing TFGPTSw3 * Add GPTSw3 to docs/_toctree.yml * Remove TF artifacts from GPTSw3 in __init__ files * Update README:s with 'make fix-copies' * Add 20b model to archive list * Add documentation for GPT-Sw3 * Fix typo in documentation for GPT-Sw3 * Do 'make fix-copies' again after having updated docs * Fix some typos in docs * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Resolve comments from PR feedback * Resolve more comments from PR feedback, also set use_cache=True in convert script * Add '# Copied from' comments for GPTSw3 modeling * Set 'is_parallelizable = False' * Remove '# Copied from' where code was modified and add 'with x->y' when appropriate * Remove parallelize in mdx * make style, make quality * Update GPTSw3Config default values and corresponding documentation * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available * Make style, make quality * Add dummy object for GPTSw3Tokenizer via 'make fix-copies' * make fix-copies * Remove GPTSw3 modeling classes * make style, make quality * Add GPTSw3 auto-mappings for other GPT2 heads * Update docs/source/en/model_doc/gpt-sw3.mdx Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Remove old TODO-comment * Add example usage to GPTSw3Tokenizer docstring * make style, make quality * Add implementation details and example usage to gpt-sw3.mdx Co-authored-by: JoeyOhman <joeyoh@kth.se> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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d151a8c550
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Add BiT + ViT hybrid (#20550)
* First draft * More improvements * Add backbone, first draft of ViT hybrid * Add AutoBackbone * More improvements * Fix bug * More improvements * More improvements * Convert ViT-hybrid * More improvements * add patch bit * Fix style * Improve code * cleaned v1 * more cleaning * more refactoring * Improve models, add tests * Add docs and tests * Make more tests pass * Improve default backbone config * Update model_type * Fix more tests * Add more copied from statements * More improvements * Add push to hub to conversion scripts * clean * more cleanup * clean * replace to * fix * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix base model prefix * more cleaning * get rid of stem * clean * replace flag * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/bit/configuration_bit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add check * another check * fix for hybrid vit * final fix * update config * fix class name * fix `make fix-copies` * remove `use_activation` * Update src/transformers/models/bit/configuration_bit.py * rm unneeded file * Add BiT image processor * rm unneeded file * add doc * Add image processor to conversion script * Add ViTHybrid image processor * Add resources * Move bit to correct position * Fix auto mapping * Rename hybrid to Hybrid * Fix name in toctree * Fix READMEs' * Improve config * Simplify GroupNormActivation layer * fix test + make style * Improve config * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * remove comment * remove comment * replace * replace * remove all conv_layer * refactor norm_layer * revert x * add copied from * last changes + integration tests * make fixup * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix name * fix message * remove assert and refactor * refactor + make fixup * refactor - add + sfety checker * fix docstring + checkpoint names * fix merge issues * fix function name * fix copies * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model checkpoint * fix doctest output * vit name on doc * fix name on doc * fix small nits * fixed integration tests * final changes - slow tests pass Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sourab Mangrulkar
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25e10da427
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Adding anchor links to Hindi README (#20606) | ||
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Kamal Raj Kanakarajan
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13e736685a
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Add BioGPT (#20420)
* biogpt initial commit * updated init * fix faster decoding with use_cache * 1. fix input_ids and input_embeds with correct device 2. added _keys_to_ignore_on_load_missing 3. updated prepare_inputs_for_generation * add activation_dropout and scale_embedding * replace fsmt attention with bart attention * added test * run make fix-copies * doc init and fix build * updated README with proper information * 1. added tips to docs 2. updated BioGptTokenizer func * 1. added tokenizer test 2. refactor tokenizer * make fixup * add biogpt fairseq to hf converter * updated layer names more similar to original checkpoints * config update doc string and set defaults * added "#copied" from bart model and updated doc strings * enable model_input_names in tokenizer * 1. positionalembedding depending on attention_mask 2. added attention mask to prepare for generation * added test to verify past and generation * BioGptLMHeadModel -> BioGptForCausalLM * fix typo * tokenization and test Copyright and updated assertion * updated Copyright and one func at time in line * Copyright updates and minor doc fix * replace assertion with ValueError * rm extra space * added code syntax * revert cmnt position change * add tokenizer to auto * updated doc string * tokenizer doc string update * biogpt hub model update to microsoft/biogpt * make fixup * rm cmnt to fix flake8 5.0.4 vs 6 error |
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fatih
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cc3d0e1b01
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[New Model] Add TimeSformer model (#18908)
* init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * update timseformer doc * add some functions and classes * add new config params * implement multiple classes * update TimeSformerLayer * update TimeSformerModel, TimeSformerPreTrainedModel, TimeSformerEncoder * several fixes * reformat * temporary update * fix some typos * fix weight converter * more fixes * fix a typo * fix typo * remove redundant params * fix for latest hf-hub * merge fix * fix some checks * video classification works with einops * add paper info to docs * merge fix * remove redundant line * remove redundant docstring * update config * fix some typos * fix converter * update some test constants * refactor einops functions * reformat * fix a comment * remove redundat imports * reformat * fix a typo * remove comment * remove unused imports * remove redundant doc line * reformat * add missing line * fix docs * fix timesformer auto feat ext * add unittests * reformat * fix docs * some fixes and updates * fix readme * fix modeling * fix readme * update index * revert _toctree.yml changes * update timseformer.mdx * update drop_path_prob to drop_path_rate * add dosctring for drop_path_rate * update TimeSformerPatchEmbed naming * remove to_2tuple * explicit use of nn.functional * reformat * many updates from review comments * fix a typo * reformat * remove assert, better variable name * make variable names more explicit * add some adapted from * more explicit variable names * remove redundant docstring * fix initilaization * move permute inside embedding * update class names * remove unused imports * add test for video classification * update PretrainedModel with PreTrainedModel * remove double permute * update based on sylvain's review * aply auto fix * update image_processing_auto for timesformer * update hub urls * reformat * remove duplicate import * update doc link |
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Sylvain Gugger
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60d1f31bb0
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v4.26.0.dev0 | ||
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Yang An
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721764028e
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Add Chinese-CLIP implementation (#20368)
* init chinese-clip model from clip * init model tests and docs * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * update usecase example in model implementation * fix codestyle * fix model_type typo in readme * add placeholder in doc * add placeholder in doc * update the init script * update usecase * fix codestyle * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * forward the convert_rgb * update testcase * update testcase * update testcase * merge the recent update from clip about model_input_name property * update the doc * update the doc * update the doc * update the doc * remove unused imports * reformat code style * update the doc * fix isort style * bypass a weird failed unit test which is unrelated with my PR * update the doc * implement independent vision config class * implement independent vision model class * fix refactor bug * fix refactor bug * fix refactor bug * make style * fix refactor bug * make style * fix refactor bug * fix refactor bug * make style * fix refactor bug * fix refactor bug * doc-build restyle * implement independent text config class * implement independent text model class * implement independent text model class * make style * make fix-copies * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * make style * update doc * black and isort * update doc * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * modify the model type from chinese-clip to chinese_clip * format the example comment of ChineseCLIPVisionConfig * correct the copyright comment * fix the tokenizer specification * add copied from for loss function * remove unused class * update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING * update CHINESE_CLIP_INPUTS_DOCSTRING * update doc * update doc * update code comment in config * update copied from statement * make style * rename the doc file * add copied statement * remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder * remove ChineseCLIPTextPreTrainedModel * fix bug * fix bug * fix bug * update doc * make style * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * update ChineseCLIPImageProcessor in image_processing_auto * fix config_class of chinesecliptextmodel * fix the test case * update the docs * remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class * update the testcase * final fix Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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NielsRogge
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4973d2a04c
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Add Audio Spectogram Transformer (#19981)
* First draft * Make conversion script work * Add id2label mapping, run code quality * Fix copies * Add first draft of feature extractor * Update conversion script to use feature extractor * Make more tests pass * Add docs * update input_features to input_values + pad by default to max length * Fix doc tests * Add feature extractor tests * Add proper padding/truncation to feature extractor * Add support for conversion of all audioset checkpoints * Improve docs and extend conversion script * Fix README * Rename spectogram to spectrogram * Fix copies * Add integration test * Remove dummy conv * Update to ast * Update organization * Fix init * Rename model to AST * Add require_torchaudio annotator * Move import of ASTFeatureExtractor under a is_speech_available * Fix rebase * Add pipeline config * Update name of classifier head * Rename time_dimension and frequency_dimension for clarity * Remove print statement * Fix pipeline test * Fix pipeline test * Fix index table * Fix init * Fix conversion script * Rename to ForAudioClassification * Fix index table Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Matthijs Hollemans
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d21c97cc0f
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add MobileNetV1 model (#17799)
* add model files etc for MobileNetV2 rename files for MobileNetV1 initial implementation of MobileNetV1 fix conversion script cleanup write docs tweaks fix conversion script extract hidden states fix test cases make fixup fixup it all remove main from doc link fixes fix tests fix up use google org fix weird assert * fixup * use google organization for checkpoints |
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Raj Rajhans
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22d7161a52
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fix: "BigSicence" typo in docs (#20331) | ||
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Ali Hassani
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fc4a993e1b
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Add Neighborhood Attention Transformer (NAT) and Dilated NAT (DiNAT) models (#20219)
* Add DiNAT * Adds DiNAT + tests * Minor fixes * Added HF model * Add natten to dependencies. * Cleanup * Minor fixup * Reformat * Optional NATTEN import. * Reformat & add doc to _toctree * Reformat (finally) * Dummy objects for DiNAT * Add NAT + minor changes Adds NAT as its own independent model + docs, tests Adds NATTEN to ext deps to ensure ci picks it up. * Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests * Minor fixes. * Fix READMEs. * Requested changes to docs + minor fixes. * Requested changes. * Add NAT/DiNAT tests to layoutlm_job * Correction to Dinat doc. * Requested changes. |
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Younes Belkada
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163ac3d3ee
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Add Switch transformers (#19323)
* first commit * add more comments * add router v1 * clean up - remove `tf` modeling files * clean up - remove `tf` modeling files * clean up * v0 routers * added more router - Implemented `ExpertsChooseMaskedRouter` - added tests - 2 more routers to implement * last router * improved docstring - completed the docstring in `router.py` - added more args in the config * v0 sparse mlp * replace wrong naming * forward pass run * update MOE layer * small router update * fixup * consistency * remove scatter router * remove abstract layer * update test and model for integration testing * v1 conversion * update * hardcode hack * all keys match * add gin conversion, without additional libraries * update conversion sctipy * delete router file * update tests wrt router deletion * fix router issues * update expert code * update, logits match, code needsREFACTORING * Refactor code Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com> * add generate tests Co-authored-by: younesbelkada <younesbelkada@gmail.com> * add support for router loss Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com> * fix forward error * refactor a bit * remove `FlaxSwitchTransformers` modules * more tests pass * Update code Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com> * fixup * fix tests * fix doc * fix doc + tokenization * fix tokenizer test * fix test * fix loss output * update code for backward pass * add loss support * update documentation * fix documentation, clean tokenizer * more doc fix, cleanup example_switch * fix failing test * fix test * fix test * fix loss issue * move layer * update doc and fix router capacity usage * fixup * add sparse mlp index for documentation on hub * fixup * test sparse mix architecture * Apply suggestions from code review * Update docs/source/en/model_doc/switch_transformers.mdx * fixup on update * fix tests * fix another test * attempt fix * Update src/transformers/models/switch_transformers/configuration_switch_transformers.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/switch_transformers/convert_switch_transformers_original_flax_checkpoint_to_pytorch.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * try * all tests pass * fix jitter noise * Apply suggestions from code review * doc tests pass * Update src/transformers/models/switch_transformers/modeling_switch_transformers.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/switch_transformers/modeling_switch_transformers.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove assert * change config order * fix readme japanese * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove parallelizable tests + add one liners * remove ONNX config * fix nits - add `T5Tokenizer` in auto mapping - remove `Switch Transformers` from ONNX supported models * remove `_get_router` * remove asserts * add check in test for `router_dtype` * add `SwitchTransformersConfig` in `run_pipeline_test` * Update tests/pipelines/test_pipelines_summarization.py * add huge model conversion script * fix slow tests - add better casting for `Linear8bitLt` - remove `torchscript` tests * add make dir * style on new script * fix nits - doctest - remove `_keys_to_ignore_on_load_unexpected` * Update src/transformers/models/switch_transformers/configuration_switch_transformers.py * add google as authors * fix year * remove last `assert` statements * standardize vertical spaces * fix failing import * fix another failing test * Remove strange àuthorized_keys` * removing todo and padding that is never used Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by: ybelkada <younes@huggingface.co> Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Arthur Zucker <arthur@huggingface.co> |
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Matthijs Hollemans
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f711d683b5
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add MobileNetV2 model (#17845)
* add model files etc for MobileNetV2 * rename files for MobileNetV1 * initial implementation of MobileNetV1 * fix conversion script * cleanup * write docs * tweaks * fix conversion script * extract hidden states * fix test cases * make fixup * fixup it all * rename V1 to V2 * fix checkpoints * fixup * implement first block + weight conversion * add remaining layers * add output stride and dilation * fixup * add tests * add deeplabv3+ head * a bit of fixup * finish deeplab conversion * add link to doc * fix issue with JIT trace in_height and in_width would be Tensor objects during JIT trace, which caused Core ML conversion to fail on the remainder op. By making them ints, the result of the padding calculation becomes a constant value. * cleanup * fix order of models * fix rebase error * remove main from doc link * add image processor * remove old feature extractor * fix converter + other issues * fixup * fix unit test * add to onnx tests (but these appear broken now) * add post_process_semantic_segmentation * use google org * remove unused imports * move args * replace weird assert |
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Arthur
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61a51f5f23
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Add Jukebox model (replaces #16875) (#17826) | ||
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Weiwe Shi
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efa889d2e4
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Add RocBert (#20013)
* add roc_bert * update roc_bert readme * code style * change name and delete unuse file * udpate model file * delete unuse log file * delete tokenizer fast * reformat code and change model file path * add RocBertForPreTraining * update docs * delete wrong notes * fix copies * fix make repo-consistency error * fix files are not present in the table of contents error * change RocBert -> RoCBert * add doc, add detail test Co-authored-by: weiweishi <weiweishi@tencent.com> |
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NielsRogge
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258963062b
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Add CLIPSeg (#20066)
* Add first draft * Update conversion script * Improve conversion script * Improve conversion script some more * Add conditional embeddings * Add initial decoder * Fix activation function of decoder * Make decoder outputs match original implementation * Make decoder outputs match original implementation * Add more copied from statements * Improve model outputs * Fix auto tokenizer file * Fix more tests * Add test * Improve README and docs, improve conditional embeddings * Fix more tests * Remove print statements * Remove initial embeddings * Improve conversion script * Add interpolation of position embeddings * Finish addition of interpolation of position embeddings * Add support for refined checkpoint * Fix refined checkpoint * Remove unused parameter * Improve conversion script * Add support for training * Fix conversion script * Add CLIPSegFeatureExtractor * Fix processor * Fix CLIPSegProcessor * Fix conversion script * Fix most tests * Fix equivalence test * Fix README * Add model to doc tests * Use better variable name * Convert other checkpoint as well * Update config, add link to paper * Add docs * Update organization * Replace base_model_prefix with clip * Fix base_model_prefix * Fix checkpoint of config * Fix config checkpoint * Remove file * Use logits for output * Fix tests Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Matt
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6e1c5786dc
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Update READMEs for ESMFold and add notebooks (#20067)
* Update READMEs for ESMFold and add notebooks * Fix PyCharm formatting * make fix-copies |
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Ikko Ashimine
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38e5b71abb
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Add Japanese translated README (#19945)
* Add japanese translated README.md * Add README_ja.md link * Add japanese transkate to check_copies.py * Add guide to Japanese README.md * Update README_ja.md Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update utils/check_copies.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sylvain Gugger
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c3a93d8d82
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v4.25.0.dev0 | ||
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Younes Belkada
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7a1c68a845
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Add flan-t5 documentation page (#19892)
* add `flan-t5` documentation page
* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add more content
* revert `_toctree` modif
* revert `toctree` modif - 2
* Update README.md
* Revert "Update README.md"
This reverts commit
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Kaylee L. Davis
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802b98c72b
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Correct README image text (#19883)
swap "right" and "left" so description is correct. |
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NielsRogge
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dd523da577
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Add table transformer [v2] (#19614)
* First draft * Add conversion script * Make conversion work * Upload checkpoints * Add final fixes * Revert changes of conditional and deformable detr * Fix toctree, add and remove copied from * Use model type * Improve docs * Improve code example * Update copies * Add copied formt * Don't update conditional detr * Don't update deformable detr |
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Spacefish
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59e29be363
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object-detection instead of object_detection (#19677) | ||
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Shreem Asati
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f4e31a9aa1
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word replacement line #231 (#19662)
install->installation |
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NielsRogge
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4d367a3c81
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Add LiLT (#19450)
* First draft * Fix more things * Improve more things * Remove some head models * Fix more things * Add missing layers * Remove tokenizer * Fix more things * Fix copied from statements * Make all tests pass * Remove print statements * Remove files * Fix README and docs * Add integration test and fix organization * Add tips * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Make tests faster, improve docs * Fix doc tests * Add model to toctree * Add docs * Add note about creating new checkpoint * Remove is_decoder * Make tests smaller, add docs Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Oussamaosman02
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0b7b4c60c6
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Adding the README_es.md and reference to it in the others files readme (#19427)
* Adding the README_es.md and reference to it in the others files readme * Updating the check_copies.py * Updating README_es.md * Updating chec_copies |
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Lysandre
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10100979ed | Dev version | ||
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amyeroberts
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e3f028f3af
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Add TF whisper (#19378)
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * Add model to README * Fix doc tests * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * clean modeling whisper and test Removed the attention mask arguments that are deprecated * fix large test * Add multilingual audio test, and translate test * style * fix larg multilingual test * nits * add copied from for attention layer * remove attention masks in doc * add english normalizer * Update docs/source/en/model_doc/whisper.mdx Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * update tokenization test * remove copied from in whisper attention : no bias in k_proj only * wrap around dependencies in english normalizer * style * correct import generation logits * for now, wrap feature extractor with torch * remove torch depencies for feature extraction and style * Update src/transformers/models/whisper/convert_openai_whisper_to_tfms.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/whisper.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixup * nit * update logitds * style * nit * nits and fix final tests * add `is_more_itertools_available` to utils * quality * add begin supress tokens, supress tokens to generate args and config * clean supressTokensLogitProcessor in generation logits * Nit naming * add supressTokensAtBegin * udpate tests, supress tokens to None or correct values * nit and style * update RAG to fit test and generate_logit * add copy pasted statment on english normalizer * add arguments to config_common_kwargs * Update src/transformers/generation_utils.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/generation_logits_process.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * revert changes based on reviews * update doc and nits * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * more nits * last nits * update test configuration common * add BART name in decoder attention mask documentation * Update src/transformers/models/whisper/modeling_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * style * nit * nit * add english.json file to git * nits on documentation * nit * nits * last styling * add main toctree file * remove sentence piece dependency * clean init file * fix tokenizer that has no dependencies on sentencepiece * update whisper init file, nit * remove english.json file * add get decoder prompt id * All weights loading * Remove hanging pdb * Fixup and tidy up * Use same copied from as PT model * Remove whitespace changes * Remove torch references * Tie embeddings * Remove logits processor input to generate * Update logit values * revert changes and add forced logit processor * nit * clean normalizer * remove protected * Add logit processors and update generation code & tests * Some tidy up * Update docstring * update * update based on review * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update to reflect changes on the PT model branch * Tidy up * Remove extra whitespace * Fix test - make input ids small enough we can append * Include upstream changes on main * PR comments - add batch tests, remove comments & defaults * Fix model output imports * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/generation_tf_logits_process.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/models/whisper/test_modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update docstring example * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * Remove changes to adjust_logits_during_generation function * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Tidy up imports that don't require TF * Update tests - skip and no more skip * Update tests/generation/test_generation_tf_logits_process.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/whisper/modeling_tf_whisper.py * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> * Add training flags * Add (skipped) XLA generation tests * Add embedding correctness test * Add constant ids for generation tests * Make logits finding a bit tidier * Remove unused args * xla generation enabled * Don't skip XLA tests anymore * Fix tests - add position ids to expected signature and update rag generation * Undo method reorder * Remove added whitespace * Remove copy-paste gradient checkopint ref * Remove * Trigger CI - (issue with refs when pulling) Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: NielsRogge <niels.rogge1@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Matt <Rocketknight1@users.noreply.github.com> Co-authored-by: Joao Gante <joao@huggingface.co> |
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Arthur
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45e14038f2
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Add WhisperModel to transformers (#19166)
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * Add model to README * Fix doc tests * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * clean modeling whisper and test Removed the attention mask arguments that are deprecated * fix large test * Add multilingual audio test, and translate test * style * fix larg multilingual test * nits * Update docs/source/en/model_doc/whisper.mdx Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * add copied from for attention layer * remove attention masks in doc * add english normalizer * update tokenization test * remove copied from in whisper attention : no bias in k_proj only * wrap around dependencies in english normalizer * style * correct import generation logits * for now, wrap feature extractor with torch * Update src/transformers/models/whisper/convert_openai_whisper_to_tfms.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/whisper.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * remove torch depencies for feature extraction and style * fixup * nit * update logitds * style * nit * nits and fix final tests * add `is_more_itertools_available` to utils * quality * add begin supress tokens, supress tokens to generate args and config * clean supressTokensLogitProcessor in generation logits * Nit naming * add supressTokensAtBegin * udpate tests, supress tokens to None or correct values * nit and style * update RAG to fit test and generate_logit * add copy pasted statment on english normalizer * add arguments to config_common_kwargs * Update src/transformers/generation_utils.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/generation_logits_process.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * revert changes based on reviews * update doc and nits * more nits * last nits * update test configuration common * add BART name in decoder attention mask documentation * Update src/transformers/models/whisper/modeling_whisper.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * style * nit * nit * add english.json file to git * nits on documentation * nit * nits * last styling * add main toctree file * remove sentence piece dependency * clean init file * fix tokenizer that has no dependencies on sentencepiece * update whisper init file, nit * remove english.json file * add get decoder prompt id * revert changes and add forced logit processor * nit * clean normalizer * remove protected * update * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * update based on review * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add batched tests Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: NielsRogge <niels.rogge1@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Shubham S Jagtap
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534cd8ff94
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Update README.md (#19309) | ||
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Kashif Rasul
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5cd16f01db
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time series forecasting model (#17965)
* initial files * initial model via cli * typos * make a start on the model config * ready with configuation * remove tokenizer ref. * init the transformer * added initial model forward to return dec_output * require gluonts * update dep. ver table and add as extra * fixed typo * add type for prediction_length * use num_time_features * use config * more config * typos * opps another typo * freq can be none * default via transformation is 1 * initial transformations * fix imports * added transform_start_field * add helper to create pytorch dataloader * added inital val and test data loader * added initial distr head and loss * training working * remove TimeSeriesTransformerTokenizer Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed copyright * removed docs * remove time series tokenizer * fixed docs * fix text * fix second * fix default * fix order * use config directly * undo change * fix comment * fix year * fix import * add additional arguments for training vs. test * initial greedy inference loop * fix inference * comment out token inputs to enc dec * Use HF encoder/decoder * fix inference * Use Seq2SeqTSModelOutput output * return Seq2SeqTSPredictionOutput * added default arguments * fix return_dict true * scale is a tensor * output static_features for inference * clean up some unused bits * fixed typo * set return_dict if none * call model once for both train/predict * use cache if future_target is none * initial generate func * generate arguments * future_time_feat is required * return SampleTSPredictionOutput * removed unneeded classes * fix when params is none * fix return dict * fix num_attention_heads * fix arguments * remove unused shift_tokens_right * add different dropout configs * implement FeatureEmbedder, Scaler and weighted_average * remove gluonts dependency * fix class names * avoid _variable names * remove gluonts dependency * fix imports * remove gluonts from configuration * fix docs * fixed typo * move utils to examples * add example requirements * config has no freq * initial run_ts_no_trainer * remove from ignore * fix output_attentions and removed unsued getters/setters * removed unsed tests * add dec seq len * add test_attention_outputs * set has_text_modality=False * add config attribute_map * make style * make fix-copies * add encoder_outputs to TimeSeriesTransformerForPrediction forward * Improve docs, add model to README * added test_forward_signature * More improvements * Add more copied from * Fix README * Fix remaining quality issues * updated encoder and decoder * fix generate * output_hidden_states and use_cache are optional * past key_values returned too * initialize weights of distribution_output module * fixed more tests * update test_forward_signature * fix return_dict outputs * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * removed commented out tests * added neg. bin and normal output * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * move to one line * Add docstrings * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add try except for assert and raise * try and raise exception * fix the documentation formatting * fix assert call * fix docstring formatting * removed input_ids from DOCSTRING * Update input docstring * Improve variable names * Update order of inputs * Improve configuration * Improve variable names * Improve docs * Remove key_length from tests * Add extra docs * initial unittests * added test_inference_no_head test * added test_inference_head * add test_seq_to_seq_generation * make style * one line * assert mean prediction * removed comments * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix order of args * make past_observed_mask optional as well * added Amazon license header * updated utils with new fieldnames * make style * cleanup * undo position of past_observed_mask * fix import * typo * more typo * rename example files * remove example for now * Update docs/source/en/_toctree.yml Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update modeling_time_series_transformer.py fix style * fixed typo * fix typo and grammer * fix style Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: NielsRogge <niels.rogge1@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Matt
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368b649af6
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Rebase ESM PR and update all file formats (#19055)
* Rebase ESM PR and update all file formats * Fix test relative imports * Add __init__.py to the test dir * Disable gradient checkpointing * Remove references to TFESM... FOR NOW >:| * Remove completed TODOs from tests * Convert docstrings to mdx, fix-copies from BERT * fix-copies for the README and index * Update ESM's __init__.py to the modern format * Add to _toctree.yml * Ensure we correctly copy the pad_token_id from the original ESM model * Ensure we correctly copy the pad_token_id from the original ESM model * Tiny grammar nitpicks * Make the layer norm after embeddings an optional flag * Make the layer norm after embeddings an optional flag * Update the conversion script to handle other model classes * Remove token_type_ids entirely, fix attention_masking and add checks to convert_esm.py * Break the copied from link from BertModel.forward to remove token_type_ids * Remove debug array saves * Begin ESM-2 porting * Add a hacky workaround for the precision issue in original repo * Code cleanup * Remove unused checkpoint conversion code * Remove unused checkpoint conversion code * Fix copyright notices * Get rid of all references to the TF weights conversion * Remove token_type_ids from the tests * Fix test code * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add credit * Remove _ args and __ kwargs in rotary embedding * Assertively remove asserts * Replace einsum with torch.outer() * Fix docstring formatting * Remove assertions in tokenization * Add paper citation to ESMModel docstring * Move vocab list to single line * Remove ESMLayer from init * Add Facebook copyrights * Clean up RotaryEmbedding docstring * Fix docstring formatting * Fix docstring for config object * Add explanation for new config methods * make fix-copies * Rename all the ESM- classes to Esm- * Update conversion script to allow pushing to hub * Update tests to point at my repo for now * Set config properly for tests * Remove the gross hack that forced loss of precision in inv_freq and instead copy the data from the model being converted * make fixup * Update expected values for slow tests * make fixup * Remove EsmForCausalLM for now * Remove EsmForCausalLM for now * Fix padding idx test * Updated README and docs with ESM-1b and ESM-2 separately (#19221) * Updated README and docs with ESM-1b and ESM-2 separately * Update READMEs, longer entry with 3 citations * make fix-copies Co-authored-by: Your Name <you@example.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Tom Sercu <tsercu@fb.com> Co-authored-by: Your Name <you@example.com> |
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NielsRogge
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f3d2f7a6e0
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Add MarkupLM (#19198)
* First draft * Make basic test work * Fix most tokenizer tests * More improvements * Make more tests pass * Fix more tests * Fix some code quality * Improve truncation * Implement feature extractor * Improve feature extractor and add tests * Improve feature extractor tests * Fix pair_input test partly * Add fast tokenizer * Improve implementation * Fix rebase * Fix rebase * Fix most of the tokenizer tests. * propose solution for fast * add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer * add: modify markuplmconverter * add: some modify on converter and tokenizerfast * Fix style, copies * Make fixup * Update tokenization_markuplm.py * Update test_tokenization_markuplm.py * Update markuplm related * Improve processor, add integration test * Add processor test file * Improve processor * Improve processor tests * Fix more processor tests * Fix processor tests * Update docstrings * Add Copied from statements * Add more Copied from statements * Add code examples * Improve code examples * Add model to doc tests * Adding dependency check * Add dummy file * Add requires_backends * Add model to toctree * Fix more things, disable dependency check for now * Apply more suggestions * Add soft dependency * Add annotators to tests * Fix style * Remove from_slow=True * Remove print statements * Add sanity check * Fix processor test * Fix processor tests, add more docs * Add doc tests for mdx file * Add more tips * Apply suggestions Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: lockon-n <45759388+lockon-n@users.noreply.github.com> Co-authored-by: SaulLu <lucilesaul.com@gmail.com> Co-authored-by: lockon-n <dd098309@126.com> |
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Sayak Paul
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2d9853b226
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MSN (Masked Siamese Networks) for ViT (#18815)
* feat: modeling and conversion scripts for msn. * chore: change license year. * chore: remove unneeded modules. * feat: direct loading of state_dict from remote url. * fix: import paths. * add: rest of the files. * add and fix rest of the files. Co-authored-by: Niels <niels.rogge1@gmail.com> * chore: formatting. * code quality fix. * chore: remove pooler. * feat: add classification top. * fix: configuration object. * add: initial test cases (one failing). * fix: basemodeloutput. * add: caution on using the classification head. * add: rest of the model related files. * add: vit msn readme. * fix: copied from statement. * fix: dummy objects. * add: ViTMSNPreTrainedModel to inits. * fix: repo consistency. * minor change in the model doc. * fix: tests. * Empty-Commit * Update src/transformers/models/vit_msn/configuration_vit_msn.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * address PR comments. * Update src/transformers/models/vit_msn/modeling_vit_msn.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * chore: put model in no_grad() and formatting. Co-authored-by: Niels <niels.rogge1@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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DepuMeng
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126a739058
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Add support for conditional detr (#18948)
* added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/conditional_detr.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed some doc issue * changed prefix to ConditionalDetr * fixed docs * Update README_ko.md * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fixed use_pretrained issue * changed post-process * added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed some doc issue * Update docs/source/en/model_doc/conditional_detr.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * changed prefix to ConditionalDetr * fixed docs * Update README_ko.md * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fixed use_pretrained issue * changed post-process * fix style quality and copies * fix style quality and copies * fix style quality and copies * fix style quality and copies * add more fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed some variable names & added more fix-copies * fixed some variable names & added more fix-copies * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added more copied from * fixed quality * changed pretrained config * added more copied-from and fixed the issue in feature_extraction_auto * added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed some doc issue * Update docs/source/en/model_doc/conditional_detr.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * changed prefix to ConditionalDetr * fixed docs * Update README_ko.md * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fixed use_pretrained issue * changed post-process * added conditional_detr files * checked copies * fixed style and copies * fixed some doc issue * changed prefix to ConditionalDetr * fixed docs * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fix style quality and copies * fix style quality and copies * fix style quality and copies * add more fix-copies * fixed some variable names & added more fix-copies * fixed some variable names & added more fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added more copied from * fixed quality * changed pretrained config * added more copied-from and fixed the issue in feature_extraction_auto * fixed style * added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixed some doc issue * Update docs/source/en/model_doc/conditional_detr.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * changed prefix to ConditionalDetr * fixed docs * Update README_ko.md * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fixed use_pretrained issue * changed post-process * added conditional_detr files * checked copies * fixed style and copies * fixed some doc issue * changed prefix to ConditionalDetr * fixed docs * added spatial_model_name * fixed fix-copies * Update src/transformers/models/conditional_detr/modeling_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added some copied from * added some copied from * added some copied from * added some copied from * fix style quality and copies * fix style quality and copies * fix style quality and copies * add more fix-copies * fixed some variable names & added more fix-copies * fixed some variable names & added more fix-copies * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/conditional_detr/configuration_conditional_detr.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added more copied from * fixed quality * changed pretrained config * added more copied-from and fixed the issue in feature_extraction_auto * rebased Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Depu Meng <depumeng@Depus-MacBook-Pro.local> |
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Lysandre Debut
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56c548f17c
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Note about developer mode (#19075) | ||
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Lysandre
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16913b3c92 | Dev version | ||
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Shinya Otani
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f5f430e5c8
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Add support for Japanese GPT-NeoX-based model by ABEJA, Inc. (#18814)
* add gpt-neox-japanese model and tokenizer as new model * Correction to PR's comment for GPT NeoX Japanese - Fix to be able to use gpu - Add comment # Copied... at the top of RotaryEmbedding - Implement nn.Linear instead of original linear class - Add generation test under @slow * fix bias treatment for gpt-neox-japanese * Modidy gpt-neox-japanese following PR - add doc for bias_dropout_add - style change following a PR comment * add document for gpt-neox-japanese * remove unused import from gpt-neox-japanese * fix README for gpt-neox-japanese |
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NielsRogge
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59407bbeb3
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Add Deformable DETR (#17281)
* First draft * More improvements * Improve model, add custom CUDA code * Import torch before * Add script that imports custom layer * Add everything in new ops directory * Import custom layer in modeling file * Fix ARCHIVE_MAP typo * Creating the custom kernel on the fly. * Import custom layer in modeling file * More improvements * Fix CUDA loading * More improvements * Improve conversion script * Improve conversion script * Make it work until encoder_outputs * Make forward pass work * More improvements * Make logits match original implementation * Make implementation also support single_scale model * Add support for single_scale and dilation checkpoint * Add support for with_box_refine model * Support also two stage model * Improve tests * Fix more tests * Make more tests pass * Upload all models to the hub * Clean up some code * Improve decoder outputs * Rename intermediate hidden states and reference points * Improve model outputs * Move tests to dedicated folder * Improve model outputs * Fix retain_grad test * Improve docs * Clean up and make test_initialization pass * Improve variable names * Add copied from statements * Improve docs * Fix style * Improve docs * Improve docs, move tests to model folder * Fix rebase * Remove DetrForSegmentation from auto mapping * Apply suggestions from code review * Improve variable names and docstrings * Apply some more suggestions from code review * Apply suggestion from code review * better docs and variables names * hint to num_queries and two_stage confusion * remove asserts and code refactor * add exception if two_stage is True and with_box_refine is False * use f-strings * Improve docs and variable names * Fix code quality * Fix rebase * Add require_torch_gpu decorator * Add pip install ninja to CI jobs * Apply suggestion of @sgugger * Remove DeformableDetrForObjectDetection from auto mapping * Remove DeformableDetrModel from auto mapping * Add model to toctree * Add model back to mappings, skip model in pipeline tests * Apply @sgugger's suggestion * Fix imports in the init * Fix copies * Add CPU implementation * Comment out GPU function * Undo previous change * Apply more suggestions * Remove require_torch_gpu annotator * Fix quality * Add logger.info * Fix logger * Fix variable names * Fix initializaztion * Add missing initialization * Update checkpoint name * Add model to doc tests * Add CPU/GPU equivalence test * Add Deformable DETR to pipeline tests * Skip model for object detection pipeline Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Nouamane Tazi <nouamane98@gmail.com> Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com> |
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HuYong
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22f7218560
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add task_type_id to BERT to support ERNIE-2.0 and ERNIE-3.0 models (#18686)
* add_ernie * remove Tokenizer in ernie * polish code * format code style * polish code * fix style * update doc * make fix-copies * change model name * change model name * fix dependency * add more copied from * rename ErnieLMHeadModel to ErnieForCausalLM do not expose ErnieLayer update doc * fix * make style * polish code * polish code * fix * fix * fix * fix * fix * final fix Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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NielsRogge
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bb6f6d5338
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Add X-CLIP (#18852)
* First draft * Improve conversion script * Make vision encoder work * More improvements * Improve conversion script * Fix quality * Add MultiframeIntegrationTransformer * More improvements * Make MiT output work * Fix quality * Add prompts generator * Add tests * Fix some tests * Fix some more tests * Fix more tests * Improve conversion script * Fix model outputs * Fix more tests * Add XClipProcessor * Use processor in conversion script * Fix integration test * Update README, fix docs * Fix all tests * Add MIT output to XClipOutput * Create better variable names * Rename XClip to XCLIP * Extend conversion script * Add support for large models * Add support for 16 frame models * Add another model' * Fix module issue * Apply suggestions from code review * Add figure to docs * Fix CLIPProcessor issue * Apply suggestions from code review * Delete file * Convert more checkpoints * Convert last checkpoint * Update nielsr to microsoft |
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Devlee247
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9832ac7c73
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Fix LayoutXLM wrong link in README (#18932)
* fix LayoutXLM wrong link in README * fix LayoutXLM worng link in index.mdx |
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Jason Phang
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53e33e6f1b
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PEGASUS-X (#18551)
* PegasusX Initial commit * rename * pegasus X implementation * pegx update * pegx fix * pegasus-x fixes * pegx updates * cleanup * cleanup * cleanup * tests * stylefixes * Documentation update * Model hub fix * cleanup * update * update * testfix * Check fix * tweaks for merging * style * style * updates for pr * style * change pegasus-x repo |
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NielsRogge
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f1fd460694
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Add SegFormer and ViLT links (#18808)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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2ab790e82d
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Add Donut (#18488)
* First draft * Improve script * Update script * Make conversion work * Add final_layer_norm attribute to Swin's config * Add DonutProcessor * Convert more models * Improve feature extractor and convert base models * Fix bug * Improve integration tests * Improve integration tests and add model to README * Add doc test * Add feature extractor to docs * Fix integration tests * Remove register_buffer * Fix toctree and add missing attribute * Add DonutSwin * Make conversion script work * Improve conversion script * Address comment * Fix bug * Fix another bug * Remove deprecated method from docs * Make Swin and Swinv2 untouched * Fix code examples * Fix processor * Update model_type to donut-swin * Add feature extractor tests, add token2json method, improve feature extractor * Fix failing tests, remove integration test * Add do_thumbnail for consistency * Improve code examples * Add code example for document parsing * Add DonutSwin to MODEL_NAMES_MAPPING * Add model to appropriate place in toctree * Update namespace to appropriate organization Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Julien Chaumond
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8d1f9039d0
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Just re-reading the whole doc every couple of months 😬 (#18489)
* Delete valohai.yaml * NLP => ML * typo * website supports https * datasets * 60k + modalities * unrelated link fixing for accelerate * Ok those links were actually broken * Fix link * Make `AutoTokenizer` auto-link * wording tweak * add at least one non-nlp task |
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NielsRogge
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f9a0008d2d
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Add VideoMAE (#17821)
* First draft * Add VideoMAEForVideoClassification * Improve conversion script * Add VideoMAEForPreTraining * Add VideoMAEFeatureExtractor * Improve VideoMAEFeatureExtractor * Improve docs * Add first draft of model tests * Improve VideoMAEForPreTraining * Fix base_model_prefix * Make model take pixel_values of shape (B, T, C, H, W) * Add loss computation of VideoMAEForPreTraining * Improve tests * Improve model testsé * Make all tests pass * Add VideoMAE to main README * Add tests for VideoMAEFeatureExtractor * Add integration test * Improve conversion script * Rename patch embedding class * Remove VideoMAELayer from init * Update design of patch embeddings * Improve comments * Improve conversion script * Improve conversion script * Add conversion of pretrained model * Add loss verification of pretrained model * Add loss verification of unnormalized targets * Add integration test for pretraining model * Apply suggestions from code review * Fix bug to make feature extractor resize only shorter edge * Address more comments * Improve normalization of videos * Add doc examples * Move constants to dedicated script * Remove scripts * Transfer checkpoints, fix docs * Update script * Update image mean and std * Fix doc tests * Set return_tensors to NumPy by default * Revert the previous change Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Ritik Nandwal
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e87ac9d18b
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Add swin transformer v2 (#17469)
* Add files generated using transformer-cli add-new-model-like command * Add changes for swinv2 attention and forward method * Add fixes * Add modifications for weight conversion and remaining args in swin model * Add changes for patchmerging * Add changes for SwinV2selfattention * Update conversion script * Add final fixes for the swin_v2 model * Add changes for conversion script for pretrained window size case * Add pretrained window size value from config in SwinV2Encoder class * Make fixup * Add swinv2 to models_not_in_readme to utils/check_copies.py * Modify Swinv2v2 to Swin Transformer V2 * Remove copied from, to run make fixup command * Add updates to swinv2tf from main branch * Add pretrained_window_size to config, to make tests pass * Add modified weights from nandwalritik profile for swinv2 * Update model weights from swinv2 from nandwalritik profile * Add fix for build_pr_documentation CI fix * Add fixes for weight conversion * Add change to make input with padding work * Add fixes for test cases * Add few changes from swin to swinv2 to pass test cases * Remove tests for tensorflow as swinv2 for TF is not added yet * Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet * Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now. * Update docs url for swinv2 in README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Undo changes for check_repo * Update url in readme.md * Remove overrided function to test pt_tf_model_equivalence * Remove TF model imports for Swinv2 as its not implemented in this PR * Add changes for index.mdx * Add swinv2 papers link,abstract and contributors details * Rename cpb_mlp to continous_position_bias_mlp * Add tips for swinv2 model * Update src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fix indentation for docstring example in src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update import order in src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add copyright statements in weights conversion script. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove Swinv2 from models_not_in_readme * Reformat code * Remove TF implementation file for swinv2 * Update start docstring. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add changes for docstring * Update orgname for weights to microsoft * Remove to_2tuple function * Add copied from statements wherever applicable * Add copied from to Swinv2ForMaskedImageModelling class * Reformat code. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add unittest.skip(with reason.) for test_inputs_embeds test case. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add updates for test_modeling_swinv2.py * Add @unittest.skip() annotation for clarity to create_and_test_config_common_properties function * Add continuous_position_bias_mlp parameter to conversion script * Add test for testing masked_image_modelling for swinv2 * Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add suggested changes * Add copied from to forward methods of Swinv2Stage and Swinv2Encoder * Add push_to_hub flag to weight conversion script * Change order or Swinv2DropPath class * Add id2label mapping for imagenet 21k * Add updated url for SwinV2 functions and classes used in implementation * Update input_feature dimensions format, mentioned in comments. Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Add suggested changes for modeling_swin2.py * Update docs * Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient. * Fix indentation. Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes for making Nit objects in code style * Add suggested changes * Add suggested changes for test_modelling_swinv2 * make fix-copies * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Lysandre
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c89a592e87 | Dev version | ||
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Alara Dirik
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12d66b4701
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Add OWL-ViT model for zero-shot object detection (#17938)
* add owlvit model skeleton * add class and box predictor heads * convert modified flax clip to pytorch * fix box and class predictors * add OwlViTImageTextEmbedder * convert class and box head checkpoints * convert image text embedder checkpoints * add object detection head * fix bugs * update conversion script * update conversion script * fix q,v,k,out weight conversion conversion * add owlvit object detection output * fix bug in image embedder * fix bugs in text embedder * fix positional embeddings * fix bug in inference mode vision pooling * update docs, init tokenizer and processor files * support batch processing * add OwlViTProcessor * remove merge conflicts * readd owlvit imports * fix bug in OwlViTProcessor imports * fix bugs in processor * update docs * fix bugs in processor * update owlvit docs * add OwlViTFeatureExtractor * style changes, add postprocess method to feature extractor * add feature extractor and processor tests * add object detection tests * update conversion script * update config paths * update config paths * fix configuration paths and bugs * fix bugs in OwlViT tests * add import checks to processor * fix docs and minor issues * fix docs and minor issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * update docs and examples * fix bugs and issues * update conversion script, fix positional embeddings * process 2D input ids, update tests * fix style and quality issues * update docs * update docs and imports * update OWL-ViT index.md * fix bug in OwlViT feature ext tests * fix code examples, return_dict by default * return_dict by default * minor fixes, add tests to processor * small fixes * add output_attentions arg to main model * fix bugs * remove output_hidden_states arg from main model * update self.config variables * add option to return last_hidden_states * fix bug in config variables * fix copied from statements * fix small issues and bugs * fix bugs * fix bugs, support greyscale images * run fixup * update repo name * merge OwlViTImageTextEmbedder with obj detection head * fix merge conflict * fix merge conflict * make fixup * fix bugs * fix bugs * add additional processor test |
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flozi00
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9f12ec7d87
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Typo in readme (#18195) | ||
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Sylvain Gugger
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e630dad555
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Add vision example to README (#18194) | ||
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Lysandre Debut
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c1c79b0655
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NLLB tokenizer (#18126)
* NLLB tokenizer * Apply suggestions from code review - Thanks Stefan! Co-authored-by: Stefan Schweter <stefan@schweter.it> * Final touches * Style :) * Update docs/source/en/model_doc/nllb.mdx Co-authored-by: Stefan Schweter <stefan@schweter.it> * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * PR reviews * Auto models Co-authored-by: Stefan Schweter <stefan@schweter.it> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Matthijs Hollemans
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fbc7598bab
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add MobileViT model (#17354)
* add MobileViT * fixup * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * remove empty line Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * use clearer variable names * rename to MobileViTTransformerLayer * no longer inherit from nn.Sequential * fixup * fixup * not sure why this got added twice * rename organization for checkpoints * fix it up * Update src/transformers/models/mobilevit/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/configuration_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/configuration_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/configuration_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/mobilevit/test_modeling_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/modeling_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/modeling_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/modeling_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mobilevit/modeling_mobilevit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * code style improvements * fixup * Update docs/source/en/model_doc/mobilevit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/mobilevit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/mobilevit/configuration_mobilevit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/mobilevit/configuration_mobilevit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * download labels from hub * rename layers * rename more layers * don't compute loss in separate function * remove some nn.Sequential * replace nn.Sequential with new MobileViTTransformer class * replace nn.Sequential with MobileViTMobileNetLayer * fix pruning since model structure changed * fixup * fix doc comment * remove custom resize from feature extractor * fix ONNX import * add to doc tests * use center_crop from image_utils * move RGB->BGR flipping into image_utils * fix broken tests * wrong type hint * small tweaks Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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StevenTang1998
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3cff4cc587
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Add MVP model (#17787)
* Add MVP model * Update README * Remove useless module * Update docs * Fix bugs in tokenizer * Remove useless test * Remove useless module * Update vocab * Remove specifying * Remove specifying * Add #Copied ... statement * Update paper link * Remove useless TFMvp * Add #Copied ... statement * Fix style in test mvp model * Fix some typos * Fix properties of unset special tokens in non verbose mode * Update paper link * Update MVP doc * Update MVP doc * Fix README * Fix typos in docs * Update docs |
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Jerry Jiarui XU
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6c8f4c9a93
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Adding GroupViT Models (#17313)
* add group vit and fixed test (except slow) * passing slow test * addressed some comments * fixed test * fixed style * fixed copy * fixed segmentation output * fixed test * fixed relative path * fixed copy * add ignore non auto configured * fixed docstring, add doc * fixed copies * Apply suggestions from code review merge suggestions Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolve comment, renaming model * delete unused attr * use fix copies * resolve comments * fixed attn * remove unused vars * refactor tests * resolve final comments * add demo notebook * fixed inconsitent default * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * rename stage->stages * Create single GroupViTEncoderLayer class * Update conversion script * Simplify conversion script * Remove cross-attention class in favor of GroupViTAttention * Convert other model as well, add processor to conversion script * addressing final comment * fixed args * Update src/transformers/models/groupvit/modeling_groupvit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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rooa
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d6b6fb9963
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Add CodeGen model (#17443)
* Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * increase vocab_size in tests Co-authored-by: patil-suraj <surajp815@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Sijun He
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7cf52a49de
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Nezha Pytorch implementation (#17776)
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * address comments * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * merge * wip * wip * wip * most basic tests passes * all tests pass now * relative embedding * wip * running make fixup * remove bert changes * fix doc * fix doc * fix issues * fix doc * address comments * fix CI * remove redundant copied from * address comments * fix broken test Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Patrick von Platen
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8fcbe275c3
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Add UL2 (just docs) (#17740)
* Add UL2 Co-authored-by: Daniel Hesslow <Daniel.Hesslow@gmail.com> * Correct naming * sort better * up * apply sylvains suggestion |
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Sylvain Gugger
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7c6ec195ad | v4.21.0.dev0 | ||
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Patrick von Platen
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7f14839f55
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[Wav2Vec2Conformer] Official release (#17709)
* [Wav2Vec2Conformer] Official release * remove from not-in-readme |
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Daniel Stancl
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a72f1c9f5b
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Add LongT5 model (#16792)
* Initial commit * Make some fixes * Make PT model full forward pass * Drop TF & Flax implementation, fix copies etc * Add Flax model and update some corresponding stuff * Drop some TF things * Update config and flax local attn * Add encoder_attention_type to config * . * Update docs * Do some cleansing * Fix some issues -> make style; add some docs * Fix position_bias + mask addition + Update tests * Fix repo consistency * Fix model consistency by removing flax operation over attn_mask * [WIP] Add PT TGlobal LongT5 * . * [WIP] Add flax tglobal model * [WIP] Update flax model to use the right attention type in the encoder * Fix flax tglobal model forward pass * Make the use of global_relative_attention_bias * Add test suites for TGlobal model * Fix minor bugs, clean code * Fix pt-flax equivalence though not convinced with correctness * Fix LocalAttn implementation to match the original impl. + update READMEs * Few updates * Update: [Flax] improve large model init and loading #16148 * Add ckpt conversion script accoring to #16853 + handle torch device placement * Minor updates to conversion script. * Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM * gpu support + dtype fix * Apply some suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * * Remove (de)parallelize stuff * Edit shape comments * Update README.md * make fix-copies * Remove caching logic for local & tglobal attention * Apply another batch of suggestions from code review * Add missing checkpoints * Format converting scripts * Drop (de)parallelize links from longT5 mdx * Fix converting script + revert config file change * Revert "Remove caching logic for local & tglobal attention" This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46. * Stash caching logic in Flax model * Make side relative bias used always * Drop caching logic in PT model * Return side bias as it was * Drop all remaining model parallel logic * Remove clamp statements * Move test files to the proper place * Update docs with new version of hf-doc-builder * Fix test imports * Make some minor improvements * Add missing checkpoints to docs * Make TGlobal model compatible with torch.onnx.export * Replace some np.ndarray with jnp.ndarray * Fix TGlobal for ONNX conversion + update docs * fix _make_global_fixed_block_ids and masked neg value * update flax model * style and quality * fix imports * remove load_tf_weights_in_longt5 from init and fix copies * add slow test for TGlobal model * typo fix * Drop obsolete is_parallelizable and one warning * Update __init__ files to fix repo-consistency * fix pipeline test * Fix some device placements * [wip]: Update tests -- need to generate summaries to update expected_summary * Fix quality * Update LongT5 model card * Update (slow) summarization tests * make style * rename checkpoitns * finish * fix flax tests Co-authored-by: phungvanduy <pvduy23@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: patil-suraj <surajp815@gmail.com> |
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Younes Belkada
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ca2a55e9df
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BLOOM (#17474)
* adding template * update model * model update * update conf for debug model * update conversion * update conversion script * update conversion script * fix missing keys check * add tests to test the tokenizer in the local machine * Change variable name * add tests on xnli dataset * add more description * add descriptions + clearer code * clearer code * adding new tests + skipping few tests because of env problems * change comment * add dtype on the configuration * add test embeddings * add hardcoded test * fix dtype issue * adding torch.float16 to config * adding more metrics (min, max, mean) * add sum * now the test passes with almost equal * add files for conversion - test passes on cpu gpu * add final changes * cleaning code * add new args in the docstring * fix one liner function * remove macros * remove forward attention * clean up init funtion * add comments on the issue * rm scale mask softmax * do make style * fix dtype in init * fixing for loop on att probs * fix style with black * fix style + doc error * fix and debug CI errors (docs + style) * some updates - change new operations - finally add scaled softmax - added new args in the config * make use cache working * add changes - save sharded models - final changes on the modeling script * add changes - comment on alibi - add TODO on seq length * test commit - added a text to test the commit Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com> * final changes - attention mask change - generation works on BS176b Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com> * changes - model + conversion * move to correct dir * put , * fex fixes * fix tokenizer autodoc * fix minor CI issues * fix minor CI issues * fix minor CI issues * fix style issue * fix minor import issues * fix few issues * remove def main on the test * add require torch * replace decorator with 'with' * fix style * change to bloom * add quick fix tokenizer * fix tokenizer file * fix tokenizer - merge tests - small fixes * fix import issue * add bloom to readme * fix consistency * Update docs/source/en/model_doc/bloom.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review fix comment issues on file headers Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix doc issue * small fix - modeling test * some changes - refactor some code - taking into account reviews - more tests should pass - removed pruning tests * remove useless division * more tests should pass * more tests should pass * more tests should pass * let's try this one -add alibi offset - remove all permutes to make the grad operations work - finger crossed * refactor - refactor code - style changes - add new threshold for test * major changes - change BLOOM to Bloom - add quick doc on bloom.mdx - move embeddings test on modeling test * modify readme * small fixes * small fix - better threshold for a test * remove old test file from fetcher * fix small typo * major change - change BloomLMHead to BloomForCausalLM * remove onnx config * major changes - refactor the code - remove asserts - change tol for test * make style * small change * adding a slow test + commenting old ones for now * make style * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make style * fix duplicates * cleaning comments on config * clean a bit conversion file * refacor a bit modeling file * refactor tokenizer file * fix tokenization test issue * fix tokenization issue #2 * fix tokenization issue second try * fix test issue * make style + add suggestions * change test fetcher * try this one - slow tests should pass - finger crossed * possible final changes * make style * try fix padding side issue * fix side * fix padding issue * fix ko-readme * fix config auto * cleaning modeling file * keep bloom in caps in ko * update config docs * remove pretraining_pp * remove model parallel * update config - add correct config files * fix duplicates * fix fetcher * fix refactor issue - remove divide function * try to remove alibi * small fixes - fix alibi - remove seq length - refactor a bit the code * put correct values - fix bos and eos token ids * fix attention mask loop Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com> * small fixes: - remove skip bias add * small fixes - fix typo in readme - fix typos in config * small changes - remove a test - add reconstruction test - change config * small changes - change Scaled Softmax to BloomScaledSoftmax * small fixes - fix alibi dtype * major changes - removing explicit dtype when loading modules - fixing test args (torch_dtype=auto) - add dosctring * fix readmes * major changes - now bloom supports alibi shifting - refactor a bit the code - better test tolerance now * refactor a bit * refactor a bit * put correct name on test * change docstring * small changes - fix docstring modeling - fix test tolerance * fix small nit - take dtype from tensors in the conversion script * minor fix - fix mdx issue * minor fix - change config docstring * forward contrib credits from PR14084 * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * apply modifications Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * resolve softmax upcast * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * Update src/transformers/models/bloom/modeling_bloom.py Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com> * final changes modeling Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * Merge commit 'd156898f3b9b2c990e5963f5030a7143d57921a2' * merge commit * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * apply suggestions Apply suggestions from Stas comments Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * Fix gradient checkpointing Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * add slow but exact * add accelerate compatibility Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com> * forward contrib credits Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com> Co-authored-by: sgugger <sgugger@users.noreply.github.com> Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com> Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com> Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * fix torch device on tests * make style * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * fix nits Co-authored-by: patrickvonplaten<patrickvonplaten@users.noreply.github.com> * remove final nits * fix doc - add more details on the doc - add links to checkpoints * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/bloom/modeling_bloom.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * apply suggestions Co-authored-by: sgugger <sgugger@users.noreply.github.com> * put test torchscript to false * Update src/transformers/models/bloom/modeling_bloom.py Co-authored-by: justheuristic <justheuristic@gmail.com> * fix alibi - create alibi only once * add small doc * make quality * replace torch.nn * remove token type emb * fix fused op + output bias * add fused op - now can control fused operation from config * remove fused op * make quality * small changes - remove unsed args on config - removed bias gelu file - make the model torchscriptable - add torchscript slow tests * Update src/transformers/models/bloom/modeling_bloom.py * fix slow * make style * add accelerate support * add bloom to deepspeed tests * minor changes * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * minor change * slow tests pass * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/en/model_doc/bloom.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * minor changes: - change docstring - add link to paper Co-authored-by: Thomwolf <thomwolf@gmail.com> Co-authored-by: Thomas Wolf <thomas@huggingface.co> Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: sIncerass <sheng.s@berkeley.edu> Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com> Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com> Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com> Co-authored-by: sgugger <sgugger@users.noreply.github.com> Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com> Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: justheuristic <justheuristic@gmail.com> Co-authored-by: Stas Bekman <stas@stason.org> |
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Chan Woo Kim
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119e3c0fc8
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M-CTC-T Model (#16402)
* added cbs to notebooks, made copy-paste error fix in generation_utils * initial push for mctc model * mctc feature extractor done * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * passing attention, now struggling to figure out how attention masks make sense here * works when excluding attention masks. ask later how one would integrate attention maskshere * bizarre configuration error (model prefix comes first in config dict json and messes up the order) * all passing but bizzarre config dict ordering issue when to_dict * passing all major tests * feature extraction, processor, tokenizer added & tests passing * style & consistency & other logistical fixes * copy paste fix * model after feature extraction working * commiting final feature extraction results; need to fix normalization * feature extraction passing tests; probably should add tests on the specific flashlight-copied functions? * delete print ; format code a bit * fixing tests * passing major tests * fixing styles * completed tokenization test with real example; not sure if these values are entirely correct. * last test fixes from local * reverting accidentally included custom setup configs * remove load tf weights; fix config error * testing couldnt import featureextractor * fix docs * fix docs * resolving comments * style fixes * style fixes * Update to MCTCConv1dSubSampler Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * relposemb fixes * conv1d name issue; expecting config fail with paraentheses * fix config issue * fix config issue * fix config issue * change everything to MCTCT * fixing naming change errors * archive list * copyrights and docs * copyrights and docs * copyrights and docs * merge resolution * move tests, fix to changed optionaldependency structure * test directories changed * fixing tests * how to avoid tf tests? * how to avoid tf tests? * tests passing locally * allow mctctprocessor imported any env * allow mctctprocessor imported any env * fixed second round of feedback, need to fix docs * doc changes not being applied * all fixed * style fix * feedback fixes * fix copies and feature extraction style fix * Update tests/models/visual_bert/test_modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * copy paste huggingface:main visual bert * added eof newline to visual bert; all tests are passing otherwise * fix slow tests by adding attention mask * change model id to speechbrain * make fix-copies * fix readme unwanted deletes * fixing readmes, make fix-copies * consistent M-CTC-T naming * Update src/transformers/models/mctct/__init__.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * all fixed but variable naming * adjust double quotes * fixed variable names * copyright and mr quilter * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * correct slow tests * make fix-copies * Update src/transformers/models/mctct/configuration_mctct.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/mctct/configuration_mctct.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * m-ctc-t not mctct Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sylvain Gugger
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048dd73bba
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Check list of models in the main README and sort it (#17517)
* Script for README * Fix copies * Complete error message |
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Anugunj Naman
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84aaadd8c5
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Adding LeViT Model by Facebook (#17466)
* levit files * levit tests * weights script * weights script * update * style fixes * few minor corrections * Added teacher model * edit docs * fix-copies * style fixes * pr error resolved * Update README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/levit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/levit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/levit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/levit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/configuration_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/configuration_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * suggested pr changes * style fixes * minor bug * update * minor doc edit * style * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/levit/test_modeling_levit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * residual layer readable * style * Update docs/source/en/model_doc/levit.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update tests/models/levit/test_feature_extraction_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * change checkpoints and style * update * minor changes * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/levit/modeling_levit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Jason Phang
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71e602725b
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[WIP] Adding GPT-NeoX-20B (#16659)
* initial * first try * working 20B * 20B tokenizers * Docs * Import fixes for missing classes * Update docs, fixup * black formatting * isort * flake * dummy objects * documentation * Documentation yml * more docs * tweaks for tests * tokenization auto * fix neox tests * test * test * einsum * address PR feedback * Documentation * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/gpt_neox/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/gpt_neox/configuration_gpt_neox.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Remove undefined LaTeX syntax * Update to full url to avoid confusion about if that's supposed to refer to the Hub * fix auto * move tests * documentation fix * more doc fixes * test refactor * fix import * fix import * fix import * fix import * fix import * style fixes * More modeling fixes Co-authored-by: Jason Phang <zp489@gr057.hpc.nyu.edu> Co-authored-by: Stella Biderman <stellabiderman@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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31ee80d556
|
Add LayoutLMv3 (#17060)
* Make forward pass work * More improvements * Remove unused imports * Remove timm dependency * Improve loss calculation of token classifier * Fix most tests * Add docs * Add model integration test * Make all tests pass * Add LayoutLMv3FeatureExtractor * Improve integration test + make fixup * Add example script * Fix style * Add LayoutLMv3Processor * Fix style * Add option to add visual labels * Make more tokenizer tests pass * Fix more tests * Make more tests pass * Fix bug and improve docs * Fix import of processors * Improve docstrings * Fix toctree and improve docs * Fix auto tokenizer * Move tests to model folder * Move tests to model folder * change default behavior add_prefix_space * add prefix space for fast * add_prefix_spcae set to True for Fast * no space before `unique_no_split` token * add test to hightligh special treatment of added tokens * fix `test_batch_encode_dynamic_overflowing` by building a long enough example * fix `test_full_tokenizer` with add_prefix_token * Fix tokenizer integration test * Make the code more readable * Add tests for LayoutLMv3Processor * Fix style * Add model to README and update init * Apply suggestions from code review * Replace asserts by value errors * Add suggestion by @ducviet00 * Add model to doc tests * Simplify script * Improve README * a step ahead to fix * Update pair_input_test * Make all tokenizer tests pass - phew * Make style * Add LayoutLMv3 to CI job * Fix auto mapping * Fix CI job name * Make all processor tests pass * Make tests of LayoutLMv2 and LayoutXLM consistent * Add copied from statements to fast tokenizer * Add copied from statements to slow tokenizer * Remove add_visual_labels attribute * Fix tests * Add link to notebooks * Improve docs of LayoutLMv3Processor * Fix reference to section Co-authored-by: SaulLu <lucilesaul.com@gmail.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Anugunj Naman
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c86aad6110
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Fix cvt docstrings (#17367) | ||
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NielsRogge
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adc0ff2502
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Add CvT (#17299)
* Adding cvt files * Adding cvt files * changes in init file * Adding cvt files * changes in init file * Style fixes * Address comments from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Format lists in docstring * Fix copies * Apply suggestion from code review Co-authored-by: AnugunjNaman <anugunjjha@gmail.com> Co-authored-by: Ayushman Singh <singhayushman13@protonmail.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Carl
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d6b8e9cec7
|
Add trajectory transformer (#17141)
* Add trajectory transformer Fix model init Fix end of lines for .mdx files Add trajectory transformer model to toctree Add forward input docs Fix docs, remove prints, simplify prediction test Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Update docs, more descriptive comments Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Update readme Small comment update and add conversion script Rebase and reformat Fix copies Fix rebase, remove duplicates Fix rebase, remove duplicates * Remove tapex * Remove tapex * Remove tapex |
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Younes Belkada
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b971c769e8
|
Add OPT (#17088)
* First version - OPT model
* Final changes
- putting use cache to False
* few changes
- remove commented block
* few changes
- remove unecessary files
* fix style issues
* few changes
- remove a test file
- added the logits test
* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add gen tests
* few changes
- rm mask filling example on docstring
* few changes
- remove useless args
* some changes
- more tests should pass now
- needs to clean more
- documentation still needs to be done
* fix code quality
* major changes
- change attention architecture to BART-like
- modify some tests
- style fix
* rm useless classes
- remove opt for:
- QA
- cond generation
- seq classif
* Removed autodoc calls to non-existant classes
TOkenizers are not implemented
* Update src/transformers/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/auto/modeling_tf_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Replaced OPTTokeniser with GPT2 tokenizer
* added GPT2Tokenizer.from_pretrained("patrickvonplaten/opt_gpt2_tokenizer")
* Removed OPTTokenizer
* make style
* Make style replaces
``` ...).unsqueeze(```
by
``` >>>).unsqueeze(```
* make repo consistency
* Removed PretrainedOPTModel
* fix opt.mdx removed other heads
* fix init, removed 3 heads
* removed heads
* finished cleaning head
* removed seauence classif and question answering
* removed unused imports
* removed useless dummy object for QA, SC and CG
* removed tests for removed useless dummy object for QA, SC and CG
* Removed head_mask using encoder layers which don't exist
* fixed test
* fix line
* added OPT to toctree
* Updated model path with pushed weigths
* fix model path
* fixed code quality
* fixed embeddings and generation tests
* update paths
* clean comments
* removed OPTClassificationHead for sentence classification
* renamed hidden layer
* renamed num layers to standard num_hidden_layers
* num_attention_heads fix
* changes for 125m
* add first version for 125m
* add first version - flax
* add new version
* causal LM output
* replace output type with BaseModelOutputWithPastAndCrossAttentions
* revert working config from 150m to 350m
* clean
* removed decoder input ids
* fixed embed dim
* more embed_dim issues
* make style + removed enc_dec test
* update falx model
* removed troublesome copy
* added is_encoder_decoder=False to config
* added set_input emb fuinction to model class
* requires torch on embed test
* use head mask instead of decoder head mask input param solves a test
* 8 test remaining, update
* Updated create_and_check_decoder_model_past_large_inputs
* Make style
* update op tokenizer with condition
* make style
* See if I can push
* some clean up
* remove linear head hack
* save intermediate
* save correct attention
* add copied from from bart
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix part of the reviewss
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* same changes in naming / conversion
* correct mask
* more fixes
* delete FlaxOPT and TfOPT
* clean traces of Flax and Tf
* fix mask
* fixed positionnal embedding length when past key value is provoded
* get 125m, 6.7b to work
* Added do_layer_norm
* solved mismatch in load dictionnary
* clean up preapre opt input dict
* fixed past key value as bool
* fix previus
* fixed return dict False tuple issue
* All tests are passing
* Make style
* Ignore OPTDecoder non tested
* make fix-copies
* make repo consistency
* small fix
* removed uselss @torch.no_grad decorator
* make styl;e
* fix previous opt test
* style
* make style
* added opt documentation
* update OPT_PRETRAINED_MODEL_ARCHIVE_LIST
* up
* more fixes
* model & config work
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* added comment on padding hack (+2)
* cleaup
* review update
* docstring for missing arg
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/models/opt/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update pretrained map
* update path and tests
* make style
* styling
* make consistency
* add gpt2 tok new
* more tok fixes
* Update src/transformers/models/auto/tokenization_auto.py
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/en/model_doc/opt.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update tests/models/opt/test_modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/opt/modeling_opt.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update based on reviews
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* make style
* make tokenizer auto tests pass
* apply Lysandre suggestion
* finish tests
* add some good tokenizer tests
* improve docs slighly
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
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Amanpreet Singh
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a10f61834d
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[feat] Add FLAVA model (#16654)
* [WIP] Add FLAVA model This PR aims to add [FLAVA](ihttps://arxiv.org/abs/2112.04482) model to the transformers repo. Following checklist delineates the list of things to be done for this PR to be complete: [x] Flava init [x] Flava base models [x] Flava layers [x] Flava Configs [x] Flava encoders [x] Flava pretraining models [ ] Flava classification/retrieval models (To be added in a separate PR) [x] Documentation updates [x] Imports updates [x] Argstring updates [x] Flava pretrained checkpoints [x] Flava tests [x] Flava processors [x] Sanity check [x] Lint |
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NielsRogge
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1ac698744c
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Add YOLOS (#16848)
* First draft * Add YolosForObjectDetection * Make forward pass work * Add mid position embeddings * Add interpolation of position encodings * Add expected values * Add YOLOS to tests * Add integration test * Support tiny model as well * Support all models in conversion script * Remove mid_pe_size attribute * Make more tests pass * Add model to README and fix config * Add copied from statements * Rename base_model_prefix to vit * Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP * Apply suggestions from code review * Apply more suggestions from code review * Convert remaining checkpoints * Improve docstrings * Add YolosFeatureExtractor * Add feature extractor to docs * Add corresponding tests * Fix style * Fix docs * Apply suggestion from code review * Fix bad rebase * Fix some more bad rebase * Fix missing character * Improve docs and variable names Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Sylvain Gugger
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e6f00a11d7
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Update README to latest release (#16997) | ||
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NielsRogge
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4ef0abb738
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Add TAPEX (#16473)
* Add TapexTokenizer * Improve docstrings and provide option to provide answer * Remove option for pretokenized inputs * Add TAPEX to README * Fix copies * Remove option for pretokenized inputs * Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification. * - Draft a README file for running the script and introducing some background. - Remove unused code lines in tabfact script. - Disable the deafult `pad_to_max_length` option which is memory-consuming. * * Support `as_target_tokenizer` function for TapexTokenizer. * Fix the do_lower_case behaviour of TapexTokenizer. * Add unit tests for target scenarios and cased/uncased scenarios for both source and target. * * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function. * Fix typos in tapex example README. * * fix the evaluation script - remove the property `task_name` * * Make the label space more clear for tabfact tasks * * Using a new fine-tuning script for tapex-base on tabfact. * * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case * Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql * * Remove the default tokenizer_name option. * Provide evaluation command. * * Support for WikiTableQuestion dataset. * Fix a typo in README. * * Fix the datasets's key name in WikiTableQuestions * Run make fixup and move test to folder * Fix quality * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions from code review * Improve docstrings * Overwrite failing test * Improve comment in example scripts * Fix rebase * Add TAPEX to Auto mapping * Add TAPEX to auto config mappings * Put TAPEX higher than BART in auto mapping * Add TAPEX to doc tests Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by: SivilTaram <qianlxc@outlook.com> Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Francesco Saverio Zuppichini
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af14c61973
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RegNet (#16188)
* base model done * make style * done * added files * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Trigger doc build * resolved conversations * resolved conversations * seer models * minor changes * minor changes * make fixup * glob variables * minor changes * fix copies * config when possibile * resolved conflicts * resolved conflicts * resolved conflicts * CI * conversion script for 10b param * fixed for 10b model * minor updates in the doc + make style * removed unused code * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * removed unused code * removed unused code * updated modeling_utils from main Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com> |
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Britney Muller
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3e26e78b3b
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Update Support image on README.md (#16615)
* Update README.md Support Image Updates the Support image linking to our EAP page (to give it a refresh + help avoid image fatigue). Slack thread checking in with #open-source-internal on this update (https://huggingface.slack.com/archives/C021H1P1HKR/p1648838903316709) * Compressed Updated Support image * Improves Support Image Logo + Height Updated the image based on logo + size feedback. Big thanks to Bibi for making quick edits to this image. |
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NielsRogge
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979b039c89
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Add DPT (#15991)
* First draft * More improvements * Add fusion blocks * Make conversion script work for dpt_large * Make conversion script work * Improve implementation * Improve conversion script * Add DPTForSemanticSegmentation * Make conversion work for semantic segmentation * Add tests * Remove print statements * First draft * Redesign neck * Improve tests * Improve implementation some more * Make neck output list of tensors * Improve neck and feature extractor * Fix integration tests * Make more tests pass * Make all tests pass * Add missing config archive map * Add in_index attribute to make heads accept list of tensors * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions * Add copied from statements * Remove assert * Apply suggestions from code review * Apply suggestions from code review * Remove DPTInterpolate in favor of nn.Upsample * Add comments * Apply suggestions from code review * Apply suggestions from code review * Add proposed design * Update design * Add DPTReassembleLayer * Add DPTFeatureFusionStage * Apply more suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Fix rebase * Update in_index and out_indices * Fix conversion script * Fix code quality * Add model to toctree and use DepthEstimatorOutput * Fix rebase * Fix code examples * Improve code * Fix copied from statements * Apply suggestions from code review * Remove compute_loss method * Apply suggestions from code review * Fix documentation tests file * Remove test.py file * Improve doc example Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home> |
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Sylvain Gugger
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3a0f1684c3
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Fix readme links and add CI check (#16392)
* Fix doc links in README * Fix name * Fix links in READMEs and doc index * Error if there is something wrong so the CI knows |
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Edward Beeching
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aff9bc405a
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Decision transformer gym (#15845)
* Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Reverted changes made to gpt2 * Removed datasets submodule * Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states * Added support for return of hidden states, attentions and return dict of gpt2 model. * Updated tests to include many of the ModelTesterMixin tests. The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes * Added missing line to the end of gpt2 file * Added an integration test for the Decision Transformer Test performs and autoregressive evaluation for two time steps * Set done and info to _ to fix failing test * Updated integration test to be deterministic and check expected outputs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unnecessary config options * Cleaned up commented code and old comments. * Cleaned up commented code. * Changed DecisionTransformer to Decision Transformer * Added Decision Transformer to the main README file * Added copy of GTP2 called DecisionTranformerGPT2Model * isorted imports * isorted imports * Added model to non-English README files * Ran make fix-copies and corrected some cases. * Updated index file to include Decision Transformer * Added gpt2 model as copy inside the Decision Transformer model file * Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS * Deleted redundant checkpoint files (I don't know how these got committed) * Removed testing files. (These should have never been committed) * Removed accidentally committed files * Moved the Decision Transformer test to its own directory * Add type hints for Pegasus (#16324) * Funnel type hints (#16323) * add pt funnel type hints * add tf funnel type hints * Add type hints for ProphetNet PyTorch (#16272) * [GLPN] Improve docs (#16331) * Add link to notebook * Add link * Fix bug Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> * Added type hints for Pytorch Marian calls (#16200) * Added type hinting for forward functions in pytorch marian * typo correction * Removed type hints on functions from BART per Suraj Patil request * fix import pb * fix typo * corrected tuple call * ran black * after fix-copies Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List * Fixing copies to roformer and pegasus Co-authored-by: Clementine Fourrier <cfourrie@inria.fr> Co-authored-by: matt <rocketknight1@gmail.com> * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unneeded summary type from config file * Fixed copies * Updated pretrained config map to refer to hopper-medium checkpoint * done (#16340) * Added Decision transformer to model docs * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add type annotations for Rembert/Splinter and copies (#16338) * undo black autoformat * minor fix to rembert forward with default * make fix-copies, make quality * Adding types to template model * Removing List from the template types * Remove `Optional` from a couple of types that don't accept `None` Co-authored-by: matt <rocketknight1@gmail.com> * [Bug template] Shift responsibilities for long-range (#16344) * Fix code repetition in serialization guide (#16346) * Adopt framework-specific blocks for content (#16342) * ✨ refactor code samples with framework-specific blocks * ✨ update training.mdx * 🖍 apply feedback * Updates the default branch from master to main (#16326) * Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updated model with custom docstring example * Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Reverted changes made to gpt2 * Removed datasets submodule * Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states * Added support for return of hidden states, attentions and return dict of gpt2 model. * Updated tests to include many of the ModelTesterMixin tests. The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes * Added missing line to the end of gpt2 file * Added an integration test for the Decision Transformer Test performs and autoregressive evaluation for two time steps * Set done and info to _ to fix failing test * Updated integration test to be deterministic and check expected outputs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unnecessary config options * Cleaned up commented code and old comments. * Cleaned up commented code. * Changed DecisionTransformer to Decision Transformer * Added Decision Transformer to the main README file * Added copy of GTP2 called DecisionTranformerGPT2Model * isorted imports * isorted imports * Added model to non-English README files * Ran make fix-copies and corrected some cases. * Updated index file to include Decision Transformer * Added gpt2 model as copy inside the Decision Transformer model file * Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS * Deleted redundant checkpoint files (I don't know how these got committed) * Removed testing files. (These should have never been committed) * Removed accidentally committed files * Moved the Decision Transformer test to its own directory * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unneeded summary type from config file * Fixed copies * Updated pretrained config map to refer to hopper-medium checkpoint * Added Decision transformer to model docs * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updated model with custom docstring example * Updated copies, config auto, and readme files. Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com> Co-authored-by: Adam Montgomerie <adam@avanssion.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com> Co-authored-by: Clementine Fourrier <cfourrie@inria.fr> Co-authored-by: matt <rocketknight1@gmail.com> Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com> Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Omar Sanseviero <osanseviero@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |
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Lysandre Debut
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eca77f4719
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Updates the default branch from master to main (#16326)
* Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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0c55d47cde
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Add GLPN (#16199)
* First draft * Fix logits calculation * Improve tests * Add copied from statements * Fix base_model_prefix * Improve implementation, upload new models * Update design * Fix integration test * Add model to README and toctree * Add document image * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add decoder_hidden_size attribute * Update design of decoder * Add DepthEstimatorOutput class * Rename in_index to head_in_index and add feature extractor tests * Apply suggestions from code review * Apply suggestions from code review * Update pretrained model name and add to doc tests * Remove test.py script * Update copied from statements and clean up Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Francesco Saverio Zuppichini
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0a057201a9
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Visual Attention Network (VAN) (#16027)
* encoder works * addded files * norm in stage * convertion script * tests * fix copies * make fix-copies * fixed __init__ * make fix-copies * fix * shapiro test needed * make fix-copie * minor changes * make style + quality * minor refactor conversion script * rebase + tests * removed unused variables * updated doc * toctree * CI * doc * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolved conversations * make fixup * config passed to modules * config passed to modules * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversations * conversations * copyrights * normal test * tests Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Francesco Saverio Zuppichini
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e3008c679f
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[WIP] Resnet (#15770)
* first commit * ResNet model correctly implemented. basic modeling + weights conversion is done removed unused doc mdx file doc and conversion script added feature_extractor to auto test minor changes + style + quality doc test Delete process.yml A left over from my attempt of running circleci locally * minor changes * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * new test format * minor changes from conversations * minor changes from conversations * make style + quality * readded the tests * test + README * minor changes from conversations * error in README * make fix-copies * removed regression for classification head * make quality * fixed loss control flow * fixed loss control flow * resolved conversations * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * READMEs * index.mdx * minor changes * updated tests and models * unused import * outputs * Update docs/source/model_doc/resnet.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added embeddings_size * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversation * added push to hub * test * embedding_size * make fix-copies * resolved conversations * CI * changed organization * minor changes * CI * minor changes * conversations * conversation * doc * tests * removed unused docstring * conversation * removed unused outputs * CI Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Suraj Patil
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b2a1c994cb
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[README] fix url for Preprocessing tutorial (#16042) | ||
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NielsRogge
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0835119bf3
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Add Document Image Transformer (DiT) (#15984)
* Add conversion script * Improve script * Fix bug * Add option to push to hub * Add support for classification models * Update model name * Upload feature extractor files first * Remove hash checking * Fix config * Add id2label * Add import * Fix id2label file name * Fix expected shape * Add model to README * Improve docs * Add integration test and fix CI * Fix code style * Add missing init * Add model to SPECIAL_MODULE_TO_TEST_MAP Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Francesco Saverio Zuppichini
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d83d22f578
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Maskformer (#15682)
* maskformer * conflicts * conflicts * minor fixes * feature extractor test fix refactor MaskFormerLoss following conversation MaskFormer related types should not trigger a module time import error missed one removed all the types that are not used update config mapping minor updates in the doc resolved conversation that doesn't need a discussion minor changes resolved conversations fixed DetrDecoder * minor changes minor changes fixed mdx file test feature_extractor return types functional losses -> classes removed the return type test for the feature extractor minor changes + style + quality * conflicts? * rebase master * readme * added missing files * deleded poolformers test that where in the wrong palce * CI * minor changes * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * resolved conversations * minor changes * conversations [Unispeech] Fix slow tests (#15818) * remove soundfile old way of loading audio * Adapt slow test [Barthez Tokenizer] Fix saving (#15815) [TFXLNet] Correct tf xlnet generate (#15822) * [TFXLNet] Correct tf xlnet * adapt test comment Fix the push run (#15807) Fix semantic segmentation pipeline test (#15826) Fix dummy_inputs() to dummy_inputs in symbolic_trace doc (#15776) Add model specific output classes to PoolFormer model docs (#15746) * Added model specific output classes to poolformer docs * Fixed Segformer typo in Poolformer docs Adding the option to return_timestamps on pure CTC ASR models. (#15792) * Adding the option to return_timestamps on pure CTC ASR models. * Remove `math.prod` which was introduced in Python 3.8 * int are not floats. * Reworking the PR to support "char" vs "word" output. * Fixup! * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Quality. Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> HFTracer.trace should use/return self.graph to be compatible with torch.fx.Tracer (#15824) Fix tf.concatenate + test past_key_values for TF models (#15774) * fix wrong method name tf.concatenate * add tests related to causal LM / decoder * make style and quality * clean-up * Fix TFBertModel's extended_attention_mask when past_key_values is provided * Fix tests * fix copies * More tf.int8 -> tf.int32 in TF test template * clean-up * Update TF test template * revert the previous commit + update the TF test template * Fix TF template extended_attention_mask when past_key_values is provided * Fix some styles manually * clean-up * Fix ValueError: too many values to unpack in the test * Fix more: too many values to unpack in the test * Add a comment for extended_attention_mask when there is past_key_values * Fix TFElectra extended_attention_mask when past_key_values is provided * Add tests to other TF models * Fix for TF Electra test: add prepare_config_and_inputs_for_decoder * Fix not passing training arg to lm_head in TFRobertaForCausalLM * Fix tests (with past) for TF Roberta * add testing for pask_key_values for TFElectra model Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> [examples/summarization and translation] fix readme (#15833) Add ONNX Runtime quantization for text classification notebook (#15817) Re-enable doctests for the quicktour (#15828) * Re-enable doctests for the quicktour * Re-enable doctests for task_summary (#15830) * Remove & Framework split model report (#15825) Add TFConvNextModel (#15750) * feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by: ariG23498 <aritra.born2fly@gmail.com> Co-authored-by: Joao Gante <joao@huggingface.co> Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com> * minor changes * doc fix in feature extractor * doc * typose * removed detr logic from config * removed detr logic from config * removed num_labels * small fix in the config * auxilary -> auxiliary * make style * some test is failing * fix a weird char in config prevending doc-builder * retry to fix the doc-builder issue * make style * new try to fix the doc builder * CI * change weights to facebook Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: ariG23498 <aritra.born2fly@gmail.com> Co-authored-by: Joao Gante <joao@huggingface.co> Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com> |
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Eduardo Gonzalez Ponferrada
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df5a4094a6
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Add Data2Vec (#15507)
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update docs/source/model_doc/data2vec.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/data2vec.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update documentation * Copy-paste Data2VecConfig from BertConfig * Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency * Update config special tokens to match RoBERTa * Split multiple assertions and add individual error messages * Rename Data2VecModel to Data2VecForTextModel * Add Data2Vec to _toctree.yml * Rename Data2VecEmbeddings to Data2VecForTextEmbeddings * Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding). * finish audio model * finish audio file * Update names and fix style, quality and repo consistency * Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files. * add inputs to logits to data2vec' * correct autio models * correct config auto * correct tok auto * Update utils/tests_fetcher.py * delete unnecessary files * delete unnecessary files * further renaming * make all tests pass * finish * remove useless test file * Update tests/test_modeling_common.py * Update utils/check_repo.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec_text.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Fix copies * Update docs * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update documentation * Update src/transformers/models/data2vec/__init__.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Copy-paste Data2VecConfig from BertConfig * Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency * Update config special tokens to match RoBERTa * Split multiple assertions and add individual error messages * Rename Data2VecModel to Data2VecForTextModel * Add Data2Vec to _toctree.yml * Rename Data2VecEmbeddings to Data2VecForTextEmbeddings * Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding). * finish audio model * finish audio file * add inputs to logits to data2vec' * Update names and fix style, quality and repo consistency * Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files. * correct autio models * correct config auto * correct tok auto * delete unnecessary files * delete unnecessary files * Update utils/tests_fetcher.py * further renaming * make all tests pass * finish * remove useless test file * Update tests/test_modeling_common.py * Update utils/check_repo.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec_text.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Move data2vec tests to new structure * Fix test imports for text tests * Remove fairseq files * Change paper link to arxiv * Modify Data2Vec documentation to reflect that the encoder is not shared across the audio and text models in the current implementation. * Update text model checkpoint to be facebook/data2vec-text-base * Add 'Copy from' statements and update paper links and docs * fix copy from statements * improve copied from * correct more copied from statements * finish copied from stuff * make style * add model to README * add to master Co-authored-by: Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Gunjan Chhablani
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2c2a31ffbc
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Add missing PLBart entry in README (#15721)
* Add missing PLBart entry in index * Fix README * Fix README * Fix style * Change to master model doc |
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Yih-Dar
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92a537d938
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Minor fix on README.md (#15688)
* fix README * fix more arxiv links * make fix-copies Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Tanay Mehta
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f84e0dbd2a
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Add PoolFormer (#15531)
* Added all files, PoolFormerFeatureExtractor still failing tests * Fixed PoolFormerFeatureExtractor not being able to import * Completed Poolformer doc * Applied Suggested fixes * Fixed errors in modeling_auto.py * Fix feature extractor, convert docs to Markdown, styling of code * Remove PoolFormer from check_repo and fix integration test * Remove Poolformer from check_repo * Fixed configuration_poolformer.py docs and removed inference.py from poolformer * Ran with black v22 * Added PoolFormer to _toctree.yml * Updated poolformer doc * Applied suggested fixes and added on README.md * Did make fixup and make fix-copies, tests should pass now * Changed PoolFormer weights conversion script name and fixed README * Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py * Added PoolFormerFeatureExtractor to AutoFeatureExtractor API Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain> |
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NielsRogge
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84eec9e6ba
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Add ConvNeXT (#15277)
* First draft * Add conversion script * Improve conversion script * Improve docs and implement tests * Define model output class * Fix tests * Fix more tests * Add model to README * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Apply suggestions from code review * Rename dims to hidden_sizes * Fix equivalence test * Rename gamma to gamma_parameter * Clean up conversion script * Add ConvNextFeatureExtractor * Add corresponding tests * Implement feature extractor correctly * Make implementation cleaner * Add ConvNextStem class * Improve design * Update design to also include encoder * Fix gamma parameter * Use sample docstrings * Finish conversion, add center cropping * Replace nielsr by facebook, make feature extractor tests smaller * Fix integration test Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Soonhwan-Kwon
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e09473a817
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Add support for XLM-R XL and XXL models by modeling_xlm_roberta_xl.py (#13727)
* add xlm roberta xl * add convert xlm xl fairseq checkpoint to pytorch * fix init and documents for xlm-roberta-xl * fix indention * add test for XLM-R xl,xxl * fix model hub name * fix some stuff * up * correct init * fix more * fix as suggestions * add torch_device * fix default values of doc strings * fix leftovers * merge to master * up * correct hub names * fix docs * fix model * up * finalize * last fix * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add copied from * make style Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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d25e25ee2b
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Add XGLM models (#14876)
* add xglm * update vocab size * fix model name * style and tokenizer * typo * no mask token * fix pos embed compute * fix args * fix tokenizer * fix positions * fix tokenization * style and dic fixes * fix imports * add fast tokenizer * update names * add pt tests * fix tokenizer * fix typo * fix tokenizer import * fix fast tokenizer * fix tokenizer * fix converter * add tokenizer test * update checkpoint names * fix tokenizer tests * fix slow tests * add copied from comments * rst -> mdx * flax model * update flax tests * quality * style * doc * update index and readme * fix copies * fix doc * update toctrr * fix indent * minor fixes * fix config doc * don't save embed_pos weights * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * address Sylvains commnets, few doc fixes * fix check_repo * align order of arguments * fix copies * fix labels * remove unnecessary mapping * fix saving tokenizer Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Lysandre
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f87db5e412 | Release: v4.16.0 | ||
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novice
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99a2771189
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Add YOSO (#15091)
* Add cookiecutter files * Add cuda kernels and cpp files * Update modeling_yoso.py * Add .h files * Update configuration_yoso.py * Updates * Remove tokenizer * Code quality * Update modeling_yoso.py * Update modeling_yoso.py * Fix failing test * Update modeling_yoso.py * Fix code quality * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review and fix integration tests * Update src/transformers/models/yoso/modeling_yoso.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Apply suggestions from code review * Fix copied from statement * Fix docstring * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions and fix mask * Apply suggestions from code review * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Fix docstrings * Fix code quality * Remove trailing whitespace * Update yoso.mdx * Move kernel loading to YosoEncoder * make style * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/yoso/modeling_yoso.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add short summary to docs * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update yoso.mdx * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove CausalLM model and add copied from * Remove autoregressive code * Remove unused imports * add copied from for embeddings * Fix code quality * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestion from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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novice
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d43e308e7f
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Add Swin Transformer (#15085)
* Add all files * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Updates * Apply suggestions from review * Fix failing tests * Update __init__.py * Update configuration_swin.py * Update auto_factory.py * Fix pytests * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fix tests and default checkpoint * Fix Recursion error * Code quality * Remove copied from * Update modeling_swin.py * Code quality * Update modeling_swin.py * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Fix feature extractor * Fix code quality * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Update configuration_swin.py * Update default checkpoint * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/model_doc/swin.mdx Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> * Update conversion script * Reformat conversion script Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> |
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NielsRogge
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ac227093e4
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Add ViLT (#14895)
* First commit * Add conversion script * Make conversion script work for base model * More improvements * Update conversion script, works for vqa * Add indexing argument to meshgrid * Make conversion script work for ViltForPreTraining * Add ViltForPreTraining to docs * Fix device issue * Add processor * Add MinMaxResize to feature extractor * Implement call method of ViltProcessor * Fix tests * Add integration test * Add loss calculation for VQA * Improve tests * Improve some more tests * Debug tests * Small improvements * Add support for attention_mask * Remove mask_it * Add pixel_mask * Add tests for ViltFeatureExtractor * Improve tests * Add ViltForNaturalLanguageVisualReasoning * Add ViltForNaturalLanguageVisualReasoning to conversion script * Minor fixes * Add support for image_embeds, update docstrings to markdown * Update docs to markdown * Improve conversion script * Rename ViltForPreTraining to ViltForMaskedLM * Improve conversion script * Convert docstrings to markdown * Fix code example of retrieval model * Properly convert masked language model * Add integration test for nlvr * Fix code quality * Apply suggestions from code review * Add copied from statements * Fix pretrained_config_archive_map * Fix docs * Add model to README * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Make code more readable * Add ViltForNaturalLanguageVisualReasoning to the tests * Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering * Replace pixel_values_2 by single tensor * Add hidden_states and attentions * Fix one more test * Fix all tests * Update year * Fix rebase issues * Fix another rebase issue * Remove ViltForPreTraining from auto mapping * Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval * Make it possible to use BertTokenizerFast in the processor * Use BertTokenizerFast by default * Rename ViltForNaturalLanguageVisualReasoning, define custom model output Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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74bec9865c
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Add MAE (#15120)
* First draft * More improvements * More improvements * More improvements * Fix embeddings * Add conversion script * Finish conversion script * More improvements * Fix forward pass * Remove print statements * Add weights initialization * Add initialization of decoder weights * Add support for other models in the conversion script * Fix patch_size for huge model * Fix most of the tests * Fix integration test * Fix docs * Fix archive_list * Apply suggestions from code review * Improve documentation * Apply more suggestions * Skip some tests due to non-deterministic behaviour * Fix test_initialization * Remove unneccessary initialization of nn.Embedding * Improve docs * Fix dummies * Remove ViTMAEFeatureExtractor from docs * Add model to README and table of contents * Delete inference file |
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Li-Huai (Allan) Lin
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22454ae492
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Add REALM (#13292)
* REALM initial commit * Retriever OK (Update new_gelu). * Encoder prediction score OK * Encoder pretrained model OK * Update retriever comments * Update docs, tests, and imports * Prune unused models * Make embedder as a module `RealmEmbedder` * Add RealmRetrieverOutput * Update tokenization * Pass all tests in test_modeling_realm.py * Prune RealmModel * Update docs * Add training test. * Remove completed TODO * Style & Quality * Prune `RealmModel` * Fixup * Changes: 1. Remove RealmTokenizerFast 2. Update docstrings 3. Add a method to RealmTokenizer to handle candidates tokenization. * Fix up * Style * Add tokenization tests * Update `from_pretrained` tests * Apply suggestions * Style & Quality * Copy BERT model * Fix comment to avoid docstring copying * Make RealmBertModel private * Fix bug * Style * Basic QA * Save * Complete reader logits * Add searcher * Complete searcher & reader * Move block records init to constructor * Fix training bug * Add some outputs to RealmReader * Add finetuned checkpoint variable names parsing * Fix bug * Update REALM config * Add RealmForOpenQA * Update convert_tfrecord logits * Fix bugs * Complete imports * Update docs * Update naming * Add brute-force searcher * Pass realm model tests * Style * Exclude RealmReader from common tests * Fix * Fix * convert docs * up * up * more make style * up * upload * up * Fix * Update src/transformers/__init__.py * adapt testing * change modeling code * fix test * up * up * up * correct more * make retriever work * update * make style * finish main structure * Resolve merge conflict * Make everything work * Style * Fixup * Fixup * Update training test * fix retriever * remove hardcoded path * Fix * Fix modeling test * Update model links * Initial retrieval test * Fix modeling test * Complete retrieval tests * Fix * style * Fix tests * Fix docstring example * Minor fix of retrieval test * Update license headers and docs * Apply suggestions from code review * Style * Apply suggestions from code review * Add an example to RealmEmbedder * Fix Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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novice
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28e091430e
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Add Nystromformer (#14659)
* Initial commit * Config and modelling changes Added Nystromformer-specific attributes to config and removed all decoder functionality from modelling. * Modelling and test changes Added Nystrom approximation and removed decoder tests. * Code quality fixes * Modeling changes and conversion script Initial commits to conversion script, modeling changes. * Minor modeling changes and conversion script * Modeling changes * Correct modeling, add tests and documentation * Code refactor * Remove tokenizers * Code refactor * Update __init__.py * Fix bugs * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/model_doc/nystromformer.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/convert_nystromformer_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update modeling and test_modeling * Code refactor * .rst to .mdx * doc changes * Doc changes * Update modeling_nystromformer.py * Doc changes * Fix copies * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update configuration_nystromformer.py * Fix copies * Update tests/test_modeling_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update test_modeling_nystromformer.py * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Fix code style * Update modeling_nystromformer.py * Update modeling_nystromformer.py * Fix code style * Reformat modeling file * Update modeling_nystromformer.py * Modify NystromformerForMultipleChoice * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Code style changes and torch.no_grad() * make style * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sylvain Gugger
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8f6373c61c
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Map model_type and doc pages names (#14944)
* Map model_type and doc pages names * Add script * Fix typo * Quality * Manual check for Auto Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Stas Bekman
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415810664b
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[doc] install - add jax (#14912)
As `jax` cuda requires special instructions to be installed correctly add a link to jax installation instructions. Note: Flax install page only covers cpu jax installation info. |
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Patrick von Platen
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c4a96cecbc
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Wav2Vec2 meets phonemes (#14353)
* up * add tokenizer * improve more * finish tokenizer * finish * adapt speech recognition script * adapt convert * more fixes * more fixes * update phonemizer wav2vec2 * better naming * fix more tests * more fixes swedish * correct tests * finish * improve script * remove file * up * lets get those 100 model architectures until the end of the month * make fix-copies * correct more * correct script * more fixes * more fixes * add to docs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * replace assert * fix copies * fix docs * new try docs * boom boom * update * add phonemizer to audio tests * make fix-copies * up * upload models * some changes * Update tests/test_tokenization_wav2vec2_phoneme.py Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * more fixes * remove @ Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> |
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Patrick von Platen
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bef1e3e4a0
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Add WavLM (#14354)
* first commit * fix some stuff * fix more readme * Apply suggestions from code review * update * correct * up * attn layer works * push code * make modedls work * Small change * more refactor * finish * up * fix convertsion * fix position bias * Fix style * fix conversion * make fix-copies * add * clean * fix docs * fix * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * apply final changes * make fix-copies Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Lysandre Debut
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8010fda9bf
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Removes images to put them in a dataset (#14781)
* First try * Update instructions |
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Amit Chaudhary
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851a78978a
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Fix broken links to distillation on index page of documentation (#14722)
* Fix broken links to distillation on index page of documentation * Fix broken link for distillation in main README * Run make fixup |
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NielsRogge
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65b20b739b
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Add Perceiver IO (#14487)
* First draft * Style and remove mlm * Make forward pass work * More improvements * More improvements * Fix bug * More improvements * More improvements * Add PerceiverTokenizer first draft * Improve conversion script * More improvements * Make conversion script work for the encoder * Make conversion script work with local pickle files * Style & quality, fix-copies * Add dummy input to conversion script * Add absolute position embeddings to TextPreProcessor * Make forward pass of encoder work * More improvements * Move text preprocessor to separate script * More improvements * More improvements * Add post processor * Make MLM model work * Style * Add PerceiverForMaskedLM * Add PerceiverImagePreprocessor * Make style * Make PerceiverForImageClassification work * More improvements * More improvements * Use tokenizer in conversion script * Use PerceiverForMaskedLM in conversion script * Define custom PerceiverModelOutput * Improve PerceiverAttention to make it work for both MLM and image classification * More improvements * More improvements * More improvements to the conversion script * Make conversion script work for both MLM and image classification * Add PerceiverFeatureExtractor * More improvements * Style and quality * Add center cropping * Fix bug * Small fix * Add print statement * Fix bug in image preprocessor * Fix bug with conversion script * Make output position embeddings an nn.Parameter layer instead of nn.Embedding * Comment out print statements * Add position encoding classes * More improvements * Use position_encoding_kwargs * Add PerceiverForImageClassificationFourier * Make style & quality * Add PerceiverForImageClassificationConvProcessing * Style & quality * Add flow model * Move processors to modeling file * Make position encodings modular * Make basic decoder use modular position encodings * Add PerceiverForOpticalFlow to conversion script * Add AudioPreprocessor * Make it possible for the basic decoder to use Fourier position embeddings * Add PerceiverForMultimodalAutoencoding * Improve model for optical flow * Improve _build_network_inputs method * Add print statement * Fix device issue * Fix device of Fourier embeddings * Add print statements for debugging * Add another print statement * Add another print statement * Add another print statement * Add another print statement * Improve PerceiverAudioPreprocessor * Improve conversion script for multimodal modal * More improvements * More improvements * Improve multimodal model * Make forward pass multimodal model work * More improvements * Improve tests * Fix some more tests * Add output dataclasses * Make more tests pass * Add print statements for debuggin * Add tests for image classification * Add PerceiverClassifierOutput * More improvements * Make more tests pass for the optical flow model * Make style & quality * Small improvements * Don't support training for optical flow model for now * Fix _prepare_for_class for tests * Make more tests pass, add some docs * Add multimodal model to tests * Minor fixes * Fix tests * Improve conversion script * Make fixup * Remove pos_dim argument * Fix device issue * Potential fix for OOM * Revert previous commit * Fix test_initialization * Add print statements for debugging * Fix print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Remove need for output_shape * Comment out output_shape * Remove unnecessary code * Improve docs * Fix make fixup * Remove PerceiverTextProcessor from init * Improve docs * Small improvement * Apply first batch of suggestions from code review * Apply more suggestions from code review * Update docstrings * Define dicts beforehand for readability * Rename task to architecture in conversion script, include PerceiverModel in tests * Add print statements for debugging * Fix tests on GPU * Remove preprocessors, postprocessors and decoders from main init * Add integration test * Fix docs * Replace einops by torch * Update for new docs frontend * Rename PerceiverForImageClassification * Improve docs * Improve docs * Improve docs of PerceiverModel * Fix some more tests * Improve center_crop * Add PerceiverForSequenceClassification * Small improvements * Fix tests * Add integration test for optical flow model * Clean up * Add tests for tokenizer * Fix tokenizer by adding special tokens properly * Fix CI |
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Ryokan RI
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30646a0a3c
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Add mLUKE (#14640)
* implement MLukeTokenizer and LukeForMaskedLM * update tests * update docs * add LukeForMaskedLM to check_repo.py * update README * fix test and specify the entity pad id in tokenization_(m)luke * fix EntityPredictionHeadTransform |
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Suraj Patil
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bc8a9f415b
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fix typo (#14635) | ||
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Lysandre Debut
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ec47baeba2
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2022 is the year of multi-modality (#14610)
* 2022 is the year of multi-modality * Small fix * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * Apply suggestions from code review * Apply to documentation index * Apply suggestions from code review Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * Update README.md Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> |
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Sylvain Gugger
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4df7d05a87
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Doc new front (#14590)
* Convert PretrainedConfig doc to Markdown * Use syntax * Add necessary doc files (#14496) * Doc fixes (#14499) * Fixes for the new front * Convert DETR file for table * Title is needed * Simplify a bit * Even simpler * Remove imports * Fix typo in toctree (#14516) * Fix checkpoints badge * Update versions.yml format (#14517) * Doc new front github actions (#14512) * Doc new front github actions * Fix docstring * Fix feature extraction utils import (#14515) * Address Julien's comments * Push to doc-builder * Ready for merge * Remove old build and deploy * Doc misc fixes (#14583) * Rm versions.yml from doc * Fix converting.rst * Rm pretrained_models from toctree * Fix index links (#14567) * Fix links in README * Localized READMEs * Fix copy script * Fix find doc script * Update README_ko.md Co-authored-by: Julien Chaumond <julien@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> * Adapt build command to new CLI tools (#14578) * Fix typo * Fix doc interlinks (#14589) * Convert PretrainedConfig doc to Markdown * Use syntax * Rm pattern <[a-z]+(.html).*> * Rm huggingface.co/transformers/master * Rm .html * Rm .html from index.mdx * Rm .html from model_summary.rst * Update index.mdx rm html * Update remove .html * Fix inner doc links * Fix interlink in preprocssing.rst * Update pr_checks Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Convert PretrainedConfig doc to Markdown * Use syntax * Add necessary doc files (#14496) * Doc fixes (#14499) * Fixes for the new front * Convert DETR file for table * Title is needed * Simplify a bit * Even simpler * Remove imports * Fix checkpoints badge * Fix typo in toctree (#14516) * Update versions.yml format (#14517) * Doc new front github actions (#14512) * Doc new front github actions * Fix docstring * Fix feature extraction utils import (#14515) * Address Julien's comments * Push to doc-builder * Ready for merge * Remove old build and deploy * Doc misc fixes (#14583) * Rm versions.yml from doc * Fix converting.rst * Rm pretrained_models from toctree * Fix index links (#14567) * Fix links in README * Localized READMEs * Fix copy script * Fix find doc script * Update README_ko.md Co-authored-by: Julien Chaumond <julien@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> * Adapt build command to new CLI tools (#14578) * Fix typo * Fix doc interlinks (#14589) * Convert PretrainedConfig doc to Markdown * Use syntax * Rm pattern <[a-z]+(.html).*> * Rm huggingface.co/transformers/master * Rm .html * Rm .html from index.mdx * Rm .html from model_summary.rst * Update index.mdx rm html * Update remove .html * Fix inner doc links * Fix interlink in preprocssing.rst * Update pr_checks Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Styling Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> |
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Shang Zhang
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a59e7c1ed4
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Add QDQBert model and quantization examples of SQUAD task (#14066)
* clean up branch for add-qdqbert-model * README update for QAT example; update docstrings in modeling_qdqbert.py * Update qdqbert.rst * Update README.md * Update README.md * calibration data using traning set; QAT example runs in fp32 * re-use BERTtokenizer for qdqbert * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove qdqbert tokenizer * Update qdqbert.rst * update evaluate-hf-trt-qa.py * update configuration_qdqbert.py * update modeling_qdqbert.py: add copied statement; replace assert with ValueError * update copied from statement * add is_quantization_available; run make fix-copies * unittest add require_quantization * add backend dependency to qdqbert model * update README; update evaluate script; make style * lint * docs qdqbert update * circleci build_doc add pytorch-quantization for qdqbert * update README * update example readme with instructions to upgrade TensorRT to 8.2 * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * change quantization to pytorch_quantization for backend requirement * feed_forward_chunking not supported in QDQBert * make style * update model docstrings and comments in testing scripts * rename example to quantization-qdqbert; rename example scripts from qat to quant * Update src/transformers/models/qdqbert/modeling_qdqbert.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * rm experimental functions in quant_trainer * qa cleanup * make fix-copies for docs index.rst * fix doctree; use post_init() for qdqbert * fix early device assignment for qdqbert * fix CI:Model templates runner Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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NielsRogge
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0490b98877
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[ImageGPT] Small fixes (#14460)
* Add integration test * Fix typo |
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NielsRogge
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da36c557f7
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Add ImageGPT (#14240)
* First draft * More improvements * Improve conversion script * Fix init weights for layer norm * Fix correct model for conversion script * Don't tie input and output embeddings * Add print statements for debugging * Add print statements for debugging * Fix vocab size of model * Improve documentation, remove fast tokenizer * Add ImageGPTForImageClassification, improve docs * Fix docs issue * Set verbosity level back to info * Improve tests * Fix tests and add figure * Delete tokenizer file * Remove ImageGPTTokenizer from init files * Remove ImageGPTLayer from init files * Remove ImageGPT tokenizer from docs * First draft of ImageGPTFeatureExtractor * Fix typo * Fix bug * More improvements * Apply suggestions from code review, add tests for feature extractor * Fix layernorm * Update save_pretrained method * Fix issue * Make all tests of ImageGPTFeatureExtractor pass * Update code examples * Rename model inputs to pixel_values * Improve code examples * Update init_weights to post_init * Fix post_init |
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Lysandre
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62bf536631 | Release v4.12.0 | ||
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NielsRogge
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1dc96a760d
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Add SegFormer (#14019)
* First draft * Make style & quality * Improve conversion script * Add print statement to see actual slice * Make absolute tolerance smaller * Fix image classification models * Add post_process_semantic method * Disable padding * Improve conversion script * Rename to ForSemanticSegmentation, add integration test, remove post_process methods * Improve docs * Fix code quality * Fix feature extractor tests * Fix tests for image classification model * Delete file * Add is_torch_available to feature extractor * Improve documentation of feature extractor methods * Apply suggestions from @sgugger's code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions of code review * Rebase with master * Fix rebase issues * Make sure model only outputs hidden states when the user wants to * Apply suggestions from code review * Add pad method * Support padding of 2d images * Add print statement * Add print statement * Move padding method to SegformerFeatureExtractor * Fix issue * Add casting of segmentation maps * Add test for padding * Add small note about padding Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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9f3aa46f45
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Add Unispeech & Unispeech-SAT (#13963)
* unispeech * add copy from * remove hubert copy from * finish for today * add unispeech-sat * adapt more * up * up * up * up * add modeling * add tests * up * up * finish * up * Apply suggestions from code review * up * up * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * up * up Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yeoun Yi
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9f53f049c6
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Translate README.md to Korean (#14015)
* Create README_ko.md * Update README.md * Update README_zh-hans.md * Update README_zh-hant.md * Update README_ko.md * Update check_copies.py * Update README_ko.md * typo * match with readme_ko |
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Dat Quoc Nguyen
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3d587c5343
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Add BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese (#13788)
* Add the pre-trained BARTpho model * Add the pre-trained BARTpho model * Add the pre-trained BARTpho model * Fix incorrectly sorted and/or formatted imports * Fix incorrectly sorted and/or formatted style * Fix check_dummies * Fix check_dummies * Fix check_dummies * Update docs/source/model_doc/bartpho.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/test_tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/test_tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/bartpho.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/bartpho.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/bartpho/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Add the pre-trained BARTpho model * Add Tips section in doc and details of monolingual_vocab_file * Fix conflicts * Add another tip related to monolingual_vocab_file * Readd dependency_versions_table.py * Handle failing checks * Remove test_list.txt * Remove md5sum.saved * Revise Readme.md Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Anton Lozhkov
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cd3166a8ed
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Add the SEW and SEW-D speech models (#13962)
* Working encoder * SEW-D and tests * Further conv fixes * Automodels and conv inits * Update integration tests, add docs * Docs cleanup, resolve todos * Conf fix * Fix docs * Fix tests, apply suggestions * Update src/transformers/models/sew/modeling_sew.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Model conversion and updated no-mask tests * Remove copy of feature_proj * Style * Update src/transformers/models/auto/feature_extraction_auto.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/auto/feature_extraction_auto.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Move orgs Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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NielsRogge
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408b2d2bd0
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Add TrOCR + VisionEncoderDecoderModel (#13874)
* First draft * Update self-attention of RoBERTa as proposition * Improve conversion script * Add TrOCR decoder-only model * More improvements * Make forward pass with pretrained weights work * More improvements * Some more improvements * More improvements * Make conversion work * Clean up print statements * Add documentation, processor * Add test files * Small improvements * Some more improvements * Make fix-copies, improve docs * Make all vision encoder decoder model tests pass * Make conversion script support other models * Update URL for OCR image * Update conversion script * Fix style & quality * Add support for the large-printed model * Fix some issues * Add print statement for debugging * Add print statements for debugging * Make possible fix for sinusoidal embedding * Further debugging * Potential fix v2 * Add more print statements for debugging * Add more print statements for debugging * Deubg more * Comment out print statements * Make conversion of large printed model possible, address review comments * Make it possible to convert the stage1 checkpoints * Clean up code, apply suggestions from code review * Apply suggestions from code review, use Microsoft models in tests * Rename encoder_hidden_size to cross_attention_hidden_size * Improve docs |
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Lysandre
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dc193c906d | Release: v4.11.0 | ||
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Gunjan Chhablani
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d8049331dc
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Add FNet (#13045)
* Init FNet * Update config * Fix config * Update model classes * Update tokenizers to use sentencepiece * Fix errors in model * Fix defaults in config * Remove position embedding type completely * Fix typo and take only real numbers * Fix type vocab size in configuration * Add projection layer to embeddings * Fix position ids bug in embeddings * Add minor changes * Add conversion script and remove CausalLM vestiges * Fix conversion script * Fix conversion script * Remove CausalLM Test * Update checkpoint names to dummy checkpoints * Add tokenizer mapping * Fix modeling file and corresponding tests * Add tokenization test file * Add PreTraining model test * Make style and quality * Make tokenization base tests work * Update docs * Add FastTokenizer tests * Fix fast tokenizer special tokens * Fix style and quality * Remove load_tf_weights vestiges * Add FNet to main README * Fix configuration example indentation * Comment tokenization slow test * Fix style * Add changes from review * Fix style * Remove bos and eos tokens from tokenizers * Add tokenizer slow test, TPU transforms, NSP * Add scipy check * Add scipy availabilty check to test * Fix tokenizer and use correct inputs * Remove remaining TODOs * Fix tests * Fix tests * Comment Fourier Test * Uncomment Fourier Test * Change to google checkpoint * Add changes from review * Fix activation function * Fix model integration test * Add more integration tests * Add comparison steps to MLM integration test * Fix style * Add masked tokenization fix * Improve mask tokenization fix * Fix index docs * Add changes from review * Fix issue * Fix failing import in test * some more fixes * correct fast tokenizer * finalize * make style * Remove additional tokenization logic * Set do_lower_case to False * Allow keeping accents * Fix tokenization test * Fix FNet Tokenizer Fast * fix tests * make style * Add tips to FNet docs Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com> |
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Li-Huai (Allan) Lin
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18447c206d
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Enable automated model list copying for localized READMEs (#13465)
* Complete basic mechanism * Save * Complete everything * Style & Quality * Update READMEs * Add testing * Fix README.md format * Apply suggestions * Fix format * Update utils/check_copies.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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4766e009b0
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Improve T5 docs (#13240)
* Remove disclaimer * First draft * Fix rebase * Improve docs some more * Add inference section * Improve example scripts section * Improve code examples of modeling files * Add docs regarding task prefix * Address @craffel's comments * Apply suggestions from @patrickvonplaten's review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Add suggestions from code review * Apply @sgugger's suggestions * Fix Flax code examples * Fix index.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Patrick von Platen
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0b8c84e110
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Add SpeechEncoderDecoder & Speech2Text2 (#13186)
* fix_torch_device_generate_test * remove @ * up * correct some bugs * correct model * finish speech2text extension * up * up * up * up * Update utils/custom_init_isort.py * up * up * update with tokenizer * correct old tok * correct old tok * fix bug * up * up * add more tests * up * fix docs * up * fix some more tests * add better config * correct some more things " * fix tests * improve docs * Apply suggestions from code review * Apply suggestions from code review * final fixes * finalize * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * apply suggestions Lysandre and Sylvain * apply nicos suggestions * upload everything * finish Co-authored-by: Patrick von Platen <patrick@huggingface.co> Co-authored-by: your_github_username <your_github_email> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Stella Biderman
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c02cd95c56
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GPT-J-6B (#13022)
* Test GPTJ implementation * Fixed conflicts * Update __init__.py * Update __init__.py * change GPT_J to GPTJ * fix missing imports and typos * use einops for now (need to change to torch ops later) * Use torch ops instead of einsum * remove einops deps * Update configuration_auto.py * Added GPT J * Update gptj.rst * Update __init__.py * Update test_modeling_gptj.py * Added GPT J * Changed configs to match GPT2 instead of GPT Neo * Removed non-existent sequence model * Update configuration_auto.py * Update configuration_auto.py * Update configuration_auto.py * Update modeling_gptj.py * Update modeling_gptj.py * Progress on updating configs to agree with GPT2 * Update modeling_gptj.py * num_layers -> n_layer * layer_norm_eps -> layer_norm_epsilon * attention_layers -> num_hidden_layers * Update modeling_gptj.py * attention_pdrop -> attn_pdrop * hidden_act -> activation_function * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * fix layernorm and lm_head size delete attn_type * Update docs/source/model_doc/gptj.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * removed claim that GPT J uses local attention * Removed GPTJForSequenceClassification * Update src/transformers/models/gptj/configuration_gptj.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Removed unsupported boilerplate * Update tests/test_modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update __init__.py * Update configuration_gptj.py * Update modeling_gptj.py * Corrected indentation * Remove stray backslash * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Update docs to match * Remove tf loading * Remove config.jax * Remove stray `else:` statement * Remove references to `load_tf_weights_in_gptj` * Adapt tests to match output from GPT-J 6B * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> * Default `activation_function` to `gelu_new` - Specify the approximate formulation of GELU to ensure parity with the default setting of `jax.nn.gelu()` * Fix part of the config documentation * Revert "Update configuration_auto.py" This reverts commit |
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Lysandre
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d12bbe4942 | Release: v4.10.0 | ||
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NielsRogge
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b6ddb08a66
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Add LayoutLMv2 + LayoutXLM (#12604)
* First commit * Make style * Fix dummy objects * Add Detectron2 config * Add LayoutLMv2 pooler * More improvements, add documentation * More improvements * Add model tests * Add clarification regarding image input * Improve integration test * Fix bug * Fix another bug * Fix another bug * Fix another bug * More improvements * Make more tests pass * Make more tests pass * Improve integration test * Remove gradient checkpointing and add head masking * Add integration test * Add LayoutLMv2ForSequenceClassification to the tests * Add LayoutLMv2ForQuestionAnswering * More improvements * More improvements * Small improvements * Fix _LazyModule * Fix fast tokenizer * Move sync_batch_norm to a separate method * Replace dummies by requires_backends * Move calculation of visual bounding boxes to separate method + update README * Add models to main init * First draft * More improvements * More improvements * More improvements * More improvements * More improvements * Remove is_split_into_words * More improvements * Simply tesseract - no use of pandas anymore * Add LayoutLMv2Processor * Update is_pytesseract_available * Fix bugs * Improve feature extractor * Fix bug * Add print statement * Add truncation of bounding boxes * Add tests for LayoutLMv2FeatureExtractor and LayoutLMv2Tokenizer * Improve tokenizer tests * Make more tokenizer tests pass * Make more tests pass, add integration tests * Finish integration tests * More improvements * More improvements - update API of the tokenizer * More improvements * Remove support for VQA training * Remove some files * Improve feature extractor * Improve documentation and one more tokenizer test * Make quality and small docs improvements * Add batched tests for LayoutLMv2Processor, remove fast tokenizer * Add truncation of labels * Apply suggestions from code review * Improve processor tests * Fix failing tests and add suggestion from code review * Fix tokenizer test * Add detectron2 CI job * Simplify CI job * Comment out non-detectron2 jobs and specify number of processes * Add pip install torchvision * Add durations to see which tests are slow * Fix tokenizer test and make model tests smaller * Frist draft * Use setattr * Possible fix * Proposal with configuration * First draft of fast tokenizer * More improvements * Enable fast tokenizer tests * Make more tests pass * Make more tests pass * More improvements * Addd padding to fast tokenizer * Mkae more tests pass * Make more tests pass * Make all tests pass for fast tokenizer * Make fast tokenizer support overflowing boxes and labels * Add support for overflowing_labels to slow tokenizer * Add support for fast tokenizer to the processor * Update processor tests for both slow and fast tokenizers * Add head models to model mappings * Make style & quality * Remove Detectron2 config file * Add configurable option to label all subwords * Fix test * Skip visual segment embeddings in test * Use ResNet-18 backbone in tests instead of ResNet-101 * Proposal * Re-enable all jobs on CI * Fix installation of tesseract * Fix failing test * Fix index table * Add LayoutXLM doc page, first draft of code examples * Improve documentation a lot * Update expected boxes for Tesseract 4.0.0 beta * Use offsets to create labels instead of checking if they start with ## * Update expected boxes for Tesseract 4.1.1 * Fix conflict * Make variable names cleaner, add docstring, add link to notebooks * Revert "Fix conflict" This reverts commit a9b46ce9afe47ebfcfe7b45e6a121d49e74ef2c5. * Revert to make integration test pass * Apply suggestions from @LysandreJik's review * Address @patrickvonplaten's comments * Remove fixtures DocVQA in favor of dataset on the hub Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Ori Ram
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cf57447648
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Fix broken links in Splinter documentation (#13237) | ||
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Ori Ram
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439a43b6b4
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Add splinter (#12955)
* splinter template * initialize splinter classes * Splinter Tokenizer * splinter.rst * tokenization fixes * Documentation & some minor variable name changes * bug fix (added back question_token_id to config) + variable names * Minor bug fixes + variable name changes * Fix Splinter references after merge with new transformers * changes after running make style & quality * Fix documentation unindent * Fix doc indentation in tokenization_splinter * Fix also SplinterTokenizerFast * Add Splinter to index.rst and README * Fixdouble whitespace from index.rst * Fixed index.rst with 'make fix-copies' * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/splinter/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Added "copied from BERT" comments * Removing unnexessary code from modeling_splinter * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Remove references to TF modeling from splinter * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Remove unnecessary check * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add differences between Splinter and Bert tokenizers * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/tokenization_splinter_fast.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Remove unnecessary check * Doc formatting * Update src/transformers/models/splinter/tokenization_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/tokenization_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * bug fix: remove load_tf_weights attribute * Some minor quality changes * Update docs/source/model_doc/splinter.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Change FullyConnectedLayer to SplinterFullyConnectedLayer * Variable naming * Reove gather_positions function * Remove ClassificationHead as it's outdated * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Remove hardcoded 102 token id * Minor style change * Added "tau" organization to all model identifiers & URLS * Added tau to the tests as well * Copy-from comments * Removed all unnecessary classes (e.g. SplinterForMaskedLM) * Running make fix-copies * Bug fix: Further removed unnecessary classes * Add Splinter to AutoTokenization * Add an integration test for Splinter * Removed initialize_new_qass from config - It will be done through different checkpoints * Removed `initialize_new_qass` from documentation as well * Added new checkpoint names (`tau/splinter-base-qass` and same for large) in the code * Minor change to test * SplinterTokenizer now doesn't abstract from BertTokenizer * SplinterTokenizerFast also dosn't abstract from Bert * style and quality * bug fix: import ing torch in tests only if it's available * Auto mappings * Changed copyrights in Splinter's files * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: yuvalkirstain <kirstain.yuval@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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NielsRogge
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83e5a10603
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Add BEiT (#12994)
* First pass * Make conversion script work * Improve conversion script * Fix bug, conversion script working * Improve conversion script, implement BEiTFeatureExtractor * Make conversion script work based on URL * Improve conversion script * Add tests, add documentation * Fix bug in conversion script * Fix another bug * Add support for converting masked image modeling model * Add support for converting masked image modeling * Fix bug * Add print statement for debugging * Fix another bug * Make conversion script finally work for masked image modeling models * Move id2label for datasets to JSON files on the hub * Make sure id's are read in as integers * Add integration tests * Make style & quality * Fix test, add BEiT to README * Apply suggestions from @sgugger's review * Apply suggestions from code review * Make quality * Replace nielsr by microsoft in tests, add docs * Rename BEiT to Beit * Minor fix * Fix docs of BeitForMaskedImageModeling Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Thibault FEVRY
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434022adac
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Add RemBERT model code to huggingface (#10692)
* Faster list concat for trainer_pt_utils.get_length_grouped_indices() (#11825)
get_length_grouped_indices() in LengthGroupedSampler and DistributedLengthGroupedSampler
is prohibitively slow for large number of megabatches (in test case takes hours for ~270k
megabatches with 100 items each) due to slow list concatenation with sum(megabatches, []).
Resolves: #11795
Co-authored-by: ctheodoris <cvtheodo@ds.dfci.harvard.edu>
* Replace double occurrences as the last step (#11367)
* [Flax] Fix PyTorch import error (#11839)
* fix_torch_device_generate_test
* remove @
* change pytorch import to flax import
* Fix reference to XLNet (#11846)
* Switch mem metrics flag (#11851)
* Switch mem metrics flag
* Update src/transformers/training_args.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Fix flos single node (#11844)
* fixing flos bug/typo in non-distributed setting
* storing flos every logging_interval
* Fix two typos in docs (#11852)
* typo2
* fix typo
* [Trainer] Report both steps and num samples per second (#11818)
* [Trainer] Report both steps and num samples per second
* Fix batch number
* Update src/transformers/trainer_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Address review comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Add some tests to the slow suite #11860
* Enable memory metrics in tests that need it (#11859)
* fixed a small typo in the doc (#11856)
* typo (#11858)
* Add option to log only once in multinode training (#11819)
* Add option to long only once in multinode training
* Use an alternate property
* [Wav2Vec2] SpecAugment Fast (#11764)
* first try
* finish
* [lm examples] fix overflow in perplexity calc (#11855)
* fix overflow in perplexity calc
* use inf
* fix
* [Examples] create model with custom config on the fly (#11798)
* create custom model on the flight
* better wording
* add update_from_string
* cleanup
* cleanup
* Update src/transformers/configuration_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* more bool options
* style
* fix logger
* add test
* add the doc
* assert on conflict of options
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Wav2Vec2ForCTC] example typo fixed (#11878)
* Ensure input tensor are on device. (#11874)
The feature extractor does not create tensors on the appropriate device,
so we call `ensure_tensor_on_device` before feeding the processed inputs
to the model.
* Fix usage of head masks by TF encoder-decoder models' `generate()` function (#11775)
* Fix Bart
* Fix Blenderbot{,_small}
* Fix LED
* Fix Marian
* Fix MBart
* Fix Pegasus
* Fix T5
* Add test for generation with head_mask
* Add a common TF test
* Override a test for the LED model as head masking is not yet properly implemented
* Remove all head_masks from input preparation for LED
* Drop masking for T5 as it needs a bit of refactor
* Correcting comments in T5Stack to reflect correct tuple order (#11330)
* Correcting comments to reflect correct tuple order
In order to match the actual order (line 513 and 516, and as accessed in 968), I've changed the order mentioned in comments L962 and L966-967.
* Update modeling_t5.py
Updating another comment as well
* Removing extra space
* Fixing style and quality
* style & quality
* Update src/transformers/models/t5/modeling_t5.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [Flax] Allow dataclasses to be jitted (#11886)
* fix_torch_device_generate_test
* remove @
* change dataclasses to flax ones
* fix typo
* fix jitted tests
* fix bert & electra
* changing find_batch_size to work with tokenizer outputs (#11890)
* changing find_batch_size to work with tokenizer outputs
trainer_pt_utils.find_batch_size does not recognize the batch size of BatchEncoding objects. This can cause an error when a trainer relies on find_batch_size to report the number of observed examples in the evaluation loop.
* Trigger CI
Co-authored-by: jrenner <joseph.renner@inria.fr>
* Link official Cloud TPU JAX docs (#11892)
* Flax Generate (#11777)
* fix_torch_device_generate_test
* remove @
* add
* indexing
* correct a couple of tests
* fix tests
* add logits processor
* finish top_k, top_p, temp
* add docs
* correct flax prng key default
* improve generate
* add generation docs
* add docs
* make style
* revert model outputs change
* make style
* correct typo
* fix tests
* fix slow test
* add raise
* finish generation
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* Add Emotion Speech Noteboook (#11900)
* Update deepspeed config to reflect hyperparameter search parameters (#11896)
* rebuild deepspeed config for hyperparameter search
* reformat code to fix style issues
* Adding new argument `max_new_tokens` for generate. (#11476)
* Adding new argument `max_new_tokens` for generate.
This is a proposal to add a new argument `max_new_tokens` to `generate`.
This include a `MaxNewTokensCriteria` that enables callers that don't
know about the token length ahead (like pipelines callers) to manage
more easily the length of their generated output.
* Adding a test for the user warning when both`max_length` and
`max_new_tokens` are used together.
* Removed redundant `no_grad`.
* Added Sequence Classification class in GPTNeo (#11906)
* seq classification changes
* fix tests
* [Flax] Return Attention from BERT, ELECTRA, RoBERTa and GPT2 (#11918)
* Added logic to return attention from flax-bert model and added test cases to check that
* Added new line at the end of file to test_modeling_flax_common.py
* fixing code style
* Fixing Roberta and Elextra models too from cpoying bert
* Added temporary hack to not run test_attention_outputs for FlaxGPT2
* Returning attention weights from GPT2 and changed the tests accordingly.
* last fixes
* bump flax dependency
Co-authored-by: jayendra <jayendra@infocusp.in>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Test optuna and ray (#11924)
* Remove `datasets` submodule
* fix assert (#11935)
* Remove redundant `nn.log_softmax` in `run_flax_glue.py` (#11920)
* Remove redundant `nn.log_softmax` in `run_flax_glue.py`
`optax.softmax_cross_entropy` expects unnormalized logits, and so it already calls `nn.log_softmax`, so I believe it is not needed here. `nn.log_softmax` is idempotent so mathematically it shouldn't have made a difference.
* Remove unused 'flax.linen' import
* Add MT5ForConditionalGeneration as supported arch. to summarization README (#11961)
* Add MT5ForConditionalGeneration as supported arch.
* Update README.md
* Add FlaxCLIP (#11883)
* add flax CLIP
* default input_shape
* add tests
* fix test
* fix name
* fix docs
* fix shapes
* attend at least 1 token
* flax conv to torch conv
* return floats
* fix equivalence tests
* fix import
* return attention_weights and update tests
* fix dosctrings
* address patricks comments
* input_shape arg
* add tests for get_image_features and get_text_features methods
* fix tests
* RAG-2nd2end-revamp (#11893)
* initial
* code quality test
* code quality
* added test functions in test_modeling_rag.py and test_retrieval_rag.py to test end2end retreiver
* minor change in test_modeling_rag
* fixed tests
* Update examples/research_projects/rag-end2end-retriever/README.md
typo corrected as suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update examples/research_projects/rag-end2end-retriever/finetune_rag.py
type change suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update src/transformers/models/rag/retrieval_rag.py
Adding this change as mentioned by lhoestq.
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* completed the minor changes suggested by the reviewers
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* modify qa-trainer (#11872)
* modify qa-trainer
* fix flax model
* bugfixes training_args.py (#11922)
modified according to:
https://pytorch.org/xla/release/1.8.1/_modules/torch_xla/core/xla_model.html
* reinitialize wandb config for each hyperparameter search run (#11945)
* Add regression tests for slow sentencepiece tokenizers. (#11737)
* add test_vocab_size for sentencepiece tok.
* add test_get_vocab for sentencepiece tok.
* add test_convert_token_and_id for sentencepiece tok.
* add test_tokenize_and_convert_tokens_to_string for all tok.
* improve test_tokenize_and_convert_tokens_to_string for sp. tok.
* add common tokenizer integration tests
- for albert
- for barthez
* add tokenizer integration tests to bert gen.
* add most tokenizer integration tests
* fix camembert tokenizer integration test
* add tokenizer integration test to marian
* add tokenizer integration test to reformer
* add typing and doc to tokenizer_integration_test_util
* fix tokenizer integration test of reformer
* improve test_sentencepiece_tokenize_and_convert_tokens_to_string
* empty commit to trigger CI
* fix tokenizer integration test of reformer
* remove code not needed anymore
* empty commit to trigger CI
* empty commit to trigger CI
* Authorize args when instantiating an AutoModel (#11956)
* Neptune.ai integration (#11937)
An option that turns on neptune.ai logging
--report_to 'neptune'
Additional ENV variables:
NEPTUNE_PROJECT
NEPTUNE_API_TOKEN
NEPTUNE_RUN_NAME (optional)
NEPTUNE_STOP_TIMEOUT (optional)
* Run the integration tests on schedule tests instead of master tests
* [deepspeed] docs (#11940)
* deepspeed docs
* cleanup
* cleanup
* typo correction (#11973)
* typo correction
* type corrections
* ByT5 model (#11971)
* allow tf to use uneven num of layers
* add tokenizer
* finish docs
* finish docs
* Apply suggestions from code review
* include in index
* finish
* Update docs/source/model_doc/byt5.rst
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* apply sylvais suggestions
* make style
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Typo in usage example, changed to device instead of torch_device (#11979)
* [DeepSpeed] decouple `DeepSpeedConfigHF` from `Trainer` (#11966)
* decouple DeepSpeedConfigHF from Trainer
* add LoggingLevel ctx manager; add new test
* cleanup
* add docs
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* implemented suggested renames
* formatter workaround
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Trainer] add train loss and flops metrics reports (#11980)
* add train loss and flops metrics reports
* consistency
* add train_loss to skip keys
* restore on_train_end call timing
* Bump urllib3 from 1.25.8 to 1.26.5 in /examples/research_projects/lxmert (#11983)
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.8 to 1.26.5.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.25.8...1.26.5)
---
updated-dependencies:
- dependency-name: urllib3
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* [RAG] Fix rag from pretrained question encoder generator behavior (#11962)
* fix_torch_device_generate_test
* remove @
* fix rag from pretrained loading
* add test
* uplaod
* finish
* VisualBERT (#10534)
* Init VisualBERT
* Add cookie-cutter, Config, and Embeddings
* Add preliminary Model
* Add Bert analogous classes
* Add basic code for NLVR, VQA, Flickr
* Update Init
* Fix VisualBert Downstream Models
* Rename classifier to cls
* Comment position_ids buffer
* Remove sentence image predictor output
* Update output dicts
* Remove unnecessary files
* Fix Auto Modeling
* Fix transformers init
* Add conversion script
* Add conversion script
* Fix docs
* Update visualbert modelling
* Update configuration
* Style fixes
* Add model and integration tests
* Add all tests
* Update model mapping
* Add simple detector from original repository
* Update docs and configs
* Fix style
* Fix style
* Update docs
* Fix style
* Fix import issues in style
* Fix style
* Add changes from review
* Fix style
* Fix style
* Update docs
* Fix style
* Fix style
* Update docs/source/model_doc/visual_bert.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update tests/test_modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add changes from review
* Remove convert run script
* Add changes from review
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add changes from review
* Add changes from review
* Add visual embedding example in docs
* Fix "copied from" comments
* Add changes from review
* Fix error, style, checkpoints
* Update docs
* Fix integration tests
* Fix style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix examples (#11990)
* [docs] fix xref to `PreTrainedModel.generate` (#11049)
* fix xref to generate
* do the same for search methods
* style
* style
* Update return introduction (#11976)
Make it clear that the `forward` method now returns a dict instead of tuple.
Fix style
* [deepspeed] Move code and doc into standalone files (#11984)
* move code and docs
* style
* moved
* restore
* [deepspeed] add nvme test skip rule (#11997)
* add nvme skip rule
* fix
* Fix weight decay masking in `run_flax_glue.py` (#11964)
* Fix weight decay masking in `run_flax_glue.py`
Issues with the previous implementation:
- The `dict` from `traverse_util.flatten_dict` has keys which are tuples of strings, not one long string with the path separated by periods.
- `optax.masked` applies the transformation wherever the mask is True, so the masks are flipped.
- Flax's LayerNorm calls the scale parameter `scale` not `weight`
* Fix formatting with black
* adapt results
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* [Flax] Refactor MLM (#12013)
* fix_torch_device_generate_test
* remove @
* finish refactor
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* [Deepspeed] Assert on mismatches between ds and hf args (#12021)
* wip
* add mismatch validation + test
* renames
* Update docs/source/main_classes/deepspeed.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* renames
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [TrainerArguments] format and sort __repr__, add __str__ (#12018)
* format and sort __repr__, add __str__
* typo
* use __str__ directly
* alias __repr__ = __str__
* Fixed Typo in modeling_bart.py (#12035)
* Fixed Typo in modeling_bart.py - Issue #11895
* Fixed Typo in modeling_bart.py
* fix deberta 2 tokenizer integration test (#12017)
* fix docs of past_key_values (#12049)
* [JAX] Bump jax lib (#12053)
* fix_torch_device_generate_test
* remove @
* bump up jax lib
* Fixes bug that appears when using QA bert and distilation. (#12026)
* Fixing bug that appears when using distilation (and potentially other uses).
During backward pass Pytorch complains with:
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
This happens because the QA model code modifies the start_positions and end_positions input tensors, using clamp_ function: as a consequence the teacher and the student both modifies the inputs, and backward pass fails.
* Fixing all models QA clamp_ bug.
* Extend pipelines for automodel tupels (#12025)
* fix_torch_device_generate_test
* remove @
* finish
* refactor
* add test
* fix test
* Attempt at simplification.
* Small fix.
* Fixing non existing AutoModel for TF.
* Naming.
* Remove extra condition.
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
* Add optional grouped parsers description to HfArgumentParser (#12042)
* Adding optional argument group to HfArgumentParser
* Minor
* remove whitespace
* Minor styling
* adds metric prefix. (#12057)
* adds metric prefix.
* update tests to include prefix
* skip failing test (#12059)
* Fix integration tests (#12066)
* Fix tapas issue (#12063)
* Fix scatter function to be compatible with torch-scatter 2.7.0
* Allow test again
* updated the original RAG implementation to be compatible with latest Pytorch-Lightning (#11806)
* updated the original RAG implementation to be compatible with the latest PL version
* updated the requirements.txt file
* execute make style
* code quality test
* code quality
* conflix resolved in requirement.txt
* code quality
* changed the MyDDP class name to CustomDDP
* Replace legacy tensor.Tensor with torch.tensor/torch.empty (#12027)
* Replace legacy torch.Tensor constructor with torch.{tensor, empty}
* Remove torch.Tensor in examples
* Add torch to requirements.txt in language-modeling (#12040)
* Add torch to requirements.txt in language-modeling
* Update examples/pytorch/language-modeling/requirements.txt
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Properly indent block_size (#12070)
* [Deepspeed] various fixes (#12058)
* replace deprecated config
* sub_group_size was too big
* complete deprecation removal
* [Deepspeed Wav2vec2] integration (#11638)
* wip
* wip - but working with https://github.com/microsoft/DeepSpeed/pull/1044
* cleanup
* workaround
* working 5/8 modes
* solve fp32 distributed zero3
* style
* sync
* sync
* rework
* deprecation
* cleanup
* https://github.com/microsoft/DeepSpeed/pull/1044 pr was merged
* clean up
* add a guide
* more prose
* more prose
* fix
* more prose
* sub_group_size was too big
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* refactor
* bug fix
* make the true check explicit
* new deepspeed release
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* typo
* Update run_ner.py with id2label config (#12001)
* sync LayerDrop for Wav2Vec2Encoder + tests (#12076)
* Add DETR (#11653)
* Squash all commits of modeling_detr_v7 branch into one
* Improve docs
* Fix tests
* Style
* Improve docs some more and fix most tests
* Fix slow tests of ViT, DeiT and DETR
* Improve replacement of batch norm
* Restructure timm backbone forward
* Make DetrForSegmentation support any timm backbone
* Fix name of output
* Address most comments by @LysandreJik
* Give better names for variables
* Conditional imports + timm in setup.py
* Address additional comments by @sgugger
* Make style, add require_timm and require_vision to testsé
* Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone
* Add png files to fixtures
* Fix type hint
* Add timm to workflows
* Add `BatchNorm2d` to the weight initialization
* Fix retain_grad test
* Replace model checkpoints by Facebook namespace
* Fix name of checkpoint in test
* Add user-friendly message when scipy is not available
* Address most comments by @patrickvonplaten
* Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner
* Better initialization
* Scipy is necessary to get sklearn metrics
* Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel
* Make style
* Improve docs and add 2 community notebooks
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
* [test] support more than 2 gpus (#12074)
* support more than 2 gpus
* style
* Wav2Vec2 Pretraining (#11306)
* Working quantizer forward
* Working quantizer forward
* Clean up unused model parts, test reproducibility
* Working quantizer forward
* Clean up unused model parts, test reproducibility
* Remove custom outputs from the shared ones
* correct conversion
* correct bug
* add first pretrain script
* save intermediate
* static shapes
* save intermediate
* finish first pretrain script version
* more refactor
* remove wanddb
* refactor more
* improve test
* correct perplexity compute bug
* finish model implementation
* add to docs
* finish docs
* finish pretraining script
* finish pretraining script
* remove wandb
* finish PR for merge
* finish config
* finish
* make deepspeed work
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* apply suggestions
* fix flaky test
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* pass decay_mask fn to optimizer (#12087)
* rm require_version_examples (#12088)
* [Wav2Vec2ForPretraining] Correct checkpoints wav2vec2 & fix tests (#12089)
* fix_torch_device_generate_test
* remove @
* fix tests
* Add text_column_name and label_column_name to run_ner and run_ner_no_trainer args (#12083)
* Add text_column_name and label_column_name to run_ner args
* Minor fix: grouping for text and label column name
* CLIPFeatureExtractor should resize images with kept aspect ratio (#11994)
* Resize with kept aspect ratio
* Fixed failed test
* Overload center_crop and resize methods instead
* resize should handle non-PIL images
* update slow test
* Tensor => tensor
Co-authored-by: patil-suraj <surajp815@gmail.com>
* New TF GLUE example (#12028)
* Pushing partially-complete new GLUE example
* First draft of the new TF GLUE example! Needs a little more testing to be sure but it's almost ready.
* Fix to the fit() call
* Bugfixes, making sure TPU and multi-GPU support is ready
* Remove logger line that depends on Pytorch
* Style pass
* Deleting old TF GLUE example
* Include label2id and id2label in the saved model config
* Don't clobber the existing model.config.label2id
* Style fixes
* Update examples/tensorflow/text-classification/run_glue.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix quality
* Update README.md to cover the TF GLUE example.
* Minor style edits
* Appending label2id and id2label to models to ensure inference works properly (#12102)
* Fix a condition in test_generate_with_head_masking (#11911)
* Fix a condition in test_generate_with_head_masking
* Fix usage of head_mask in bigbirg_pegasus
* Fix head masking for speech2text
* Resolve copy mismatch + drop unwanted print statement
* Fix the condition
* Flax VisionTransformer (#11951)
* adding vit for flax
* added test for Flax-vit and some bug-fixes
* overrided methods where variable changes were necessary for flax_vit test
* added FlaxViTForImageClassification for test
* Update src/transformers/models/vit/modeling_flax_vit.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* made changes suggested in PR
* Adding jax-vit models for autoimport
* swapping num_channels and height,width dimension
* fixing the docstring for torch-like inputs for VIT
* add model to main init
* add docs
* doc, fix-copies
* docstrings
* small test fixes
* fix docs
* fix docstr
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* style
Co-authored-by: jayendra <jayendra@infocusp.in>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add relevant description to tqdm in examples (#11927)
* add relevant `desc` in examples
* require_version datasets>=1.8.0
* Fix head masking generate tests (#12110)
* fix_torch_device_generate_test
* remove @
* fix tests
* Flax CLM script (#12023)
* first draft
* max_seq_length => block_size
* fix arg names
* fix typos
* fix loss calculation
* add max examples, fix train eval steps, metrics
* optimizer mask
* fix perpelexity, metric logging
* fix logging
* data_collator = > data_loader
* refactor loss_fn
* support single GPU
* pass distributed to write_metric
* fix jitting
* fix single device training
* fix single device metrics
* close inner progress bars once finished
* add overwrite_cache arg
* ifx dataset caching issue
* add more logs
* few small fixes,
* address nicholas suggestions
* fix docstr
* address patricks suggestions
* make flake happy
* pass new new_dropout_rng to apply_gradients
* reset train metrics after every epoc
* remove distributed logis, small fixes
* Add from_pretrained to dummy timm objects (#12097)
* Add from_pretrained to dummy timm
* Fix at the source
* Update utils/check_dummies.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Missing pretrained dummies
* Style
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix t5 error message (#12136)
* Fix t5 error message
* Fix again
* Fix megatron_gpt2 attention block's causal mask (#12007)
* Fix megatron_gpt2 attention block's causal mask.
* compatibility with checkpoints created with recent versions of Megatron-LM
* added integration test for the released Megatron-GPT2 model
* code style changes
* added option to megatron conversion script to read from config file
Co-authored-by: Guido Novati <gnovati@nvidia.com>
* Add mlm pretraining xla torch readme (#12011)
* fix_torch_device_generate_test
* remove @
* upload
* Apply suggestions from code review
* Apply suggestions from code review
* Apply suggestions from code review
* Update examples/flax/language-modeling/README.md
* add more info
* finish
* fix
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* add readme for flax clm (#12111)
* add readme for flax clm
* use section link for tokenizer
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update metrics
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* FlaxBart (#11537)
* Start working on FlaxBart
* Create modeling_flax_bart.py
* Write FlaxBartAttention
* Add FlaxBartEncoderLayer
* Add FlaxBartDecoderLayer and some typing
* Add helepr function for FlaxBart
* shift_tokens_right
* _make_causal_mask
* _expand_mask
* Add PositionalEmbedding and fix init_std naming
* Add FlaxBartPretrainedModel
* Add FlaxBartEncoder
* Add FlaxBartEncoder
* Add FlaxBartEncoder among modules to be imported
* YET WE CANNOT INITIALIZE THAT!! :(
* Make BartEncoder working
Change BartEncoder to instance of nn.Module so far
* Add FlaxBartDecoder
* Add FlaxBartModel
* TODO to make model run -> Prepapre model inputs
* Resolve padding
* Add FlaxBartModel
* Add FlaxBartModel into importable modules
* Remove FlaxBartEncoder and FlaxBartDecoder from importable modules
* make style; not properly working
* make style; make quality not pass due to some import I left
* Remove TODO for padding_idx in nn.Embed so far
* Add FlaxBartForConditionalGeneration
* Incorporate Flax model output classes, i.e. return_dict
* Add another models and incorporate use_cache arg
* Add FlaxBartForSequenceClassification and FlaxBartForQuestionAnswering
* Incorporate use_cache arg from PyTorch implementation
* Add all necessary Flax output utils
* Add FlaxBartForCausalLM; not working yet'
* Add minor improvements; still lacks some functionality
* Update docs, src and tests
* Add support of FlaxBart to docs/source
* Fix some bugs in FlaxBart souce code
* Add some neccessary tests for FlaxBart models - jit_compilation not passing
* Fix tests and add test_head_masking
* Fix tests for @jax.jit computation
* Add test_head_masking
* Migrate FlaxBart tests from jax.numpy to numpy
* Remove FlaxBartForCausalLM
* Clean repo
* fix bart model weight structure
* Fix FlaxBartForSequenceClassification
Slicing is not possible to use below jit, therefore, selecting sentence
representation from hidden_states must be changed.
* Allow FlaxBartForSequenceClassification for testing pt_flax equivalence
* Allow testing for FlaxBartForQA for pt_flax equivalence
* Add a comment to FlaxBartForSequenceClassification + change noise from 1e-3 to 1e-6
* remove past_key_values
* remove inputs_mebeds and make input_ids required
* add position ids
* re-write attention layer
* fix dataclass
* fix pos embeds and attention output
* fix pos embeds
* expose encode method
* expose decode method
* move docstring to top
* add cache for causal attn layer
* remove head masking for now
* s2s greedy search first pass
* boom boom
* fix typos
* fix greedy generate for bart
* use encoder, decoder layers instead of num_hidden_layers
* handle encoder_outputs
* cleanup
* simplify decoding
* more clean-up
* typos
* Change header + add {decoder_,}position_ids into 2 models
* add BartConfig
* fix existing tests
* add encode, decode methods
* Fix shift_tokens_right for JIT compilation + clarify one condition
* fix decode
* encoder => encode
* simplify generate
* add tests for encode and decode
* style
* add tests for cache
* fix equivalence tests
* sample generate now works with seq2seq
* generation tests
* initialize dense layers
* docstring and cleanup
* quality
* remove get/set input_embeddings
* address Patricks suggestions
* decode for every model, remove encoder_outputs from call
* update tests accordingly
* decode returns only decoder outputs and logits
* fix arguments
* doc encode, decode methods
* correct base_model_prefix
* fix test for seq classif model
* fix docs
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Feature to use the PreTrainedTokenizerFast class as a stand-alone tokenizer (#11810)
* feature for tokenizer without slow/legacy version
* format
* modify common test
* add tests
* add PreTrainedTokenizerFast to AutoTokenizer
* format
* change tokenizer common test in order to be able to run test without a slow version
* update tokenizer fast test in order to use `rust_tokenizer_class` attribute instead of `tokenizer_class`
* add autokenizer test
* replace `if self.tokenizer_class is not None` with ` if self.tokenizer_class is None`
* remove obsolete change in comment
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* change `get_main_tokenizer` into `get_tokenizers`
* clarify `get_tokenizers` method
* homogenize with `test_slow_tokenizer` and `test_rust_tokenizer`
* add `test_rust_tokenizer = False` to tokenizer which don't define a fast version
* `test_rust_tokenizer = False` for BertJapaneseTokenizer
* `test_rust_tokenizer = False` for BertJapaneseCharacterTokenizationTest
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Flax] Add links to google colabs (#12146)
* fix_torch_device_generate_test
* remove @
* add colab links
* Don't log anything before logging is setup in examples (#12121)
* Don't log anything before logging is setup in examples
* Last example
* Use text_column_name variable instead of "text" (#12132)
* Use text_column_name variable instead of "text"
`text_column_name` was already defined above where I made the changes and it was also used below where I made changes.
This is a very minor change. If a dataset does not use "text" as the column name, then the `tokenize_function` will now use whatever column is assigned to `text_column_name`. `text_column_name` is just the first column name if "text" is not a column name. It makes the function a little more robust, though I would assume that 90% + of datasets use "text" anyway.
* black formatting
* make style
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
* [lm examples] Replicate --config_overrides addition to other LM examples (#12135)
* [lm examples] Replicate --config_overrides addition to other LM examples
* Removing no trainer files changes
* Update README
Co-authored-by: Kumar Abhishek <kabhishek@expedia.com>
* fix error message (#12148)
* [optim] implement AdafactorSchedule (#12123)
* implement AdafactorSchedule
* typo
* fix
* Update src/transformers/optimization.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [style] consistent nn. and nn.functional (#12124)
* consistent nn. and nn.functional
* fix glitch
* fix glitch #2
* Adding TFWav2Vec2Model (#11617)
* [WIP] Add TFWav2Vec2Model
Work in progress for adding a tensorflow version of Wav2Vec2
* feedback changes
* small fix
* Test Feedback Round 1
* Add SpecAugment and CTC Loss
* correct spec augment mask creation
* docstring and correct copyright
* correct bugs
* remove bogus file
* finish tests correction
* del unnecessary layers
* Update src/transformers/models/wav2vec2/modeling_tf_wav2vec2.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* make style
* correct final bug
* Feedback Changes
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [Flax] Fix flax pt equivalence tests (#12154)
* fix_torch_device_generate_test
* remove @
* upload
* consistent nn. and nn.functional: p2 templates (#12153)
* Flax Big Bird (#11967)
* add flax bert
* bert -> bigbird
* original_full ported
* add debugger
* init block sparse
* fix copies ; gelu_fast -> gelu_new
* block sparse port
* fix block sparse
* block sparse working
* all ckpts working
* fix-copies
* make quality
* init tests
* temporary fix for FlaxBigBirdForMultipleChoice
* skip test_attention_outputs
* fix
* gelu_fast -> gelu_new ; fix multiple choice model
* remove nsp
* fix sequence classifier
* fix
* make quality
* make fix-copies
* finish
* Delete debugger.ipynb
* Update src/transformers/models/big_bird/modeling_flax_big_bird.py
* make style
* finish
* bye bye jit flax tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [style] consistent nn. and nn.functional: part 3 `tests` (#12155)
* consistent nn. and nn.functional: p3 templates
* restore
* [style] consistent nn. and nn.functional: part 4 `examples` (#12156)
* consistent nn. and nn.functional: p4 examples
* restore
* consistent nn. and nn.functional: part 5 docs (#12161)
* Add video links to the documentation (#12162)
* [Flax generate] Add params to generate (#12171)
* fix_torch_device_generate_test
* remove @
* add params as input
* finish
* Use a released version of optax rather than installing from Git. (#12173)
Use a released version of optax rather than installing from Git
* Have dummy processors have a `from_pretrained` method (#12145)
* Add course banner (#12157)
* Add course banner
* Update course banner
* Adjust banner width
* Enable add_prefix_space if model_type is roberta or gpt2 (#12116)
* Update AutoModel classes in summarization example (#12178)
- Convert use of deprecated AutoModelWithLMHead to AutoModelForSeq2SeqLM
- Add newly required `truncation=True` to `tokenizer.encode` with `max_length`
This silences all warnings.
* Ray Tune Integration Updates (#12134)
* fix
* fixes
* add back to scheduled tests
* formatting
* Update integrations.py
* [testing] ensure concurrent pytest workers use a unique port for torch.dist (#12166)
* ensure concurrent pytest workers use a unique port for torch.distributed.launch
* reword
* Model card defaults (#12122)
* [WIP] Model card defaults
* finetuned_from default value
* Add all mappings to the mapping file
* Be more defensive on finetuned_from arg
* Add default task tag
* Separate tags from tasks
* Edge case for dataset
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Temporarily deactivate torch-scatter while we wait for new release (#12181)
* Temporarily deactivate torch-scatter while we wait for new release
* torch-1.8.1 binary for scatter
* Revert to 1.8.0
* Pin torch dependency
* torchaudio and torchvision
* Temporarily deactivate torchhub test (#12184)
* [Flax] Add Beam Search (#12131)
* fix_torch_device_generate_test
* remove @
* push new logit processors
* add processors
* save first working version
* save intermediate
* finish
* make style
* make fix-copies
* finish
* Update tests/test_modeling_flax_bart.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Hubert (#11889)
* fix_torch_device_generate_test
* remove @
* add hubert
* add first test file
* more docs
* fix bugs
* fix bug
* finish
* finish
* finish docstring
* fix
* fix
* finalize
* add to ignored
* finish
* Apply suggestions from code review
* correct naming
* finish
* fix auto config
* finish
* correct convert script
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* apply suggestions lysandre & suraj
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* updated DLC images and sample notebooks (#12191)
* Enabling AutoTokenizer for HubertConfig. (#12198)
* Use yaml to create metadata (#12185)
* Use yaml to create metadata
* Fix typo
* Remove pin
* [Docs] fixed broken link (#12205)
* fixed broken link
* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Pipeline update & tests (#12207)
* Improve detr (#12147)
* Remove unused variables
* Improve docs
* Fix docs of segmentation masks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Add link to the course (#12229)
* Support for torch 1.9.0 (#12224)
* Support for torch 1.9.0
* Torch scatter for 1.9.0
* Github Actions run on 1.9.0
* fix pt-1.9.0 `add_` deprecation (#12217)
* fix pt-1.9.0 add_ deprecation
* add () for clarity
* Trigger CI
* require_version(torch
* Release: v4.7.0
* Docs for v4.8.0
* AutoTokenizer: infer the class from the tokenizer config if possible (#12208)
* AutoTokenizer: infer the class from the tokenizer config if possible
* Add tests
* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update desc for map in all examples (#12226)
* update desc for map in all examples
* added plm
* suggestions
* [Flax] FlaxAutoModelForSeq2SeqLM (#12228)
* add FlaxAutoModelForSeq2SeqLM
* [FlaxBart] few small fixes (#12247)
* boom boom
* remove flax clip example
* few small fixes
* Depreciate pythonic Mish and support PyTorch 1.9 version of Mish (#12240)
* Moved Mish to Torch 1.9 version
* Run black formatting
* [t5 doc] make the example work out of the box (#12239)
* [run_clm.py] restore caching
* style
* [t5 doc] make the example work out of the box
This PR expands the training example to include the correct model type for the example to work, e.g. with `T5Model` this example will break.
* Update docs/source/model_doc/t5.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* expand the other example
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Fix the scheduled CI
* Better CI feedback (#12279)
* Better run ID
* Only part of CI
* Revert "Only part of CI"
This reverts commit
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qqaatw
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2349ac58c4
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Translate README.md to Traditional Chinese (#12701)
* Add README_zh-tw.md * Add links to each README. * Fix a mismatched term. * Minor improvements. * Rename language code to be more inclusive. * Polish terms to make them fluent. * Remove redundant spaces. * Fix typo. |
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Kevin Canwen Xu
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9d771c5472
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Translate README.md to Simplified Chinese (#12596)
* README Translation for Chinese (Simplified) * update link * h3->h4 * html refactor * update model list * fix * Add a translation guide * format * update * typo * Refine wording |
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NielsRogge
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6e68597877
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Add CANINE (#12024)
* First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Add support for hidden_states and attentions of shallow encoders * Define custom CanineModelOutputWithPooling, tests pass * First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Make conversion script work for Canine-c too * Fix tokenizer tests * Remove file Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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ccca510276
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Hubert (#11889)
* fix_torch_device_generate_test * remove @ * add hubert * add first test file * more docs * fix bugs * fix bug * finish * finish * finish docstring * fix * fix * finalize * add to ignored * finish * Apply suggestions from code review * correct naming * finish * fix auto config * finish * correct convert script * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com> * apply suggestions lysandre & suraj Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com> |
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Sylvain Gugger
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60b1d6b45b
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Add course banner (#12157)
* Add course banner * Update course banner |
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NielsRogge
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d3eacbb829
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Add DETR (#11653)
* Squash all commits of modeling_detr_v7 branch into one * Improve docs * Fix tests * Style * Improve docs some more and fix most tests * Fix slow tests of ViT, DeiT and DETR * Improve replacement of batch norm * Restructure timm backbone forward * Make DetrForSegmentation support any timm backbone * Fix name of output * Address most comments by @LysandreJik * Give better names for variables * Conditional imports + timm in setup.py * Address additional comments by @sgugger * Make style, add require_timm and require_vision to testsé * Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone * Add png files to fixtures * Fix type hint * Add timm to workflows * Add `BatchNorm2d` to the weight initialization * Fix retain_grad test * Replace model checkpoints by Facebook namespace * Fix name of checkpoint in test * Add user-friendly message when scipy is not available * Address most comments by @patrickvonplaten * Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner * Better initialization * Scipy is necessary to get sklearn metrics * Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel * Make style * Improve docs and add 2 community notebooks Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Gunjan Chhablani
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88ca6a231d
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VisualBERT (#10534)
* Init VisualBERT * Add cookie-cutter, Config, and Embeddings * Add preliminary Model * Add Bert analogous classes * Add basic code for NLVR, VQA, Flickr * Update Init * Fix VisualBert Downstream Models * Rename classifier to cls * Comment position_ids buffer * Remove sentence image predictor output * Update output dicts * Remove unnecessary files * Fix Auto Modeling * Fix transformers init * Add conversion script * Add conversion script * Fix docs * Update visualbert modelling * Update configuration * Style fixes * Add model and integration tests * Add all tests * Update model mapping * Add simple detector from original repository * Update docs and configs * Fix style * Fix style * Update docs * Fix style * Fix import issues in style * Fix style * Add changes from review * Fix style * Fix style * Update docs * Fix style * Fix style * Update docs/source/model_doc/visual_bert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes from review * Remove convert run script * Add changes from review * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes from review * Add changes from review * Add visual embedding example in docs * Fix "copied from" comments * Add changes from review * Fix error, style, checkpoints * Update docs * Fix integration tests * Fix style Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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47a98fc4cb
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ByT5 model (#11971)
* allow tf to use uneven num of layers * add tokenizer * finish docs * finish docs * Apply suggestions from code review * include in index * finish * Update docs/source/model_doc/byt5.rst Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * apply sylvais suggestions * make style Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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yujun
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206f06f2dd
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Add new model RoFormer (use rotary position embedding ) (#11684)
* add roformer * Update docs/source/model_doc/roformer.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/roformer.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * update * add TFRoFormerSinusoidalPositionalEmbedding and fix TFMarianSinusoidalPositionalEmbedding * update docs * make style and make quality * roback * unchanged * rm copies from , this is a error in TFMarianSinusoidalPositionalEmbedding * update Copyright year * move # Add modeling imports here to the correct position * max_position_embeddings can be set to 1536 * # Copied from transformers.models.bert.modeling_bert.BertOutput with Bert->RoFormer * # Copied from transformers.models.bert.modeling_bert.BertLayer.__init__ with Bert->RoFormer * update tokenization_roformer * make style * add staticmethod apply_rotary_position_embeddings * add TF staticmethod apply_rotary_position_embeddings * update torch apply_rotary_position_embeddings * fix tf apply_rotary_position_embeddings error * make style * add pytorch RoFormerSelfAttentionRotaryPositionEmbeddingTest * add TF rotary_position_embeddings test * update test_modeling_rofomer * Update docs/source/model_doc/roformer.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/convert_roformer_original_tf_checkpoint_to_pytorch.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_tf_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * refact roformer tokenizer * add RoFormerTokenizerFast * add RoFormerTokenizationTest * add require_jieba * update Copyright * update tokenizer & add copy from * add option rotary_value * use rust jieba * use rjieba * use rust jieba * fix test_alignement_methods * slice normalized_string is too slow * add config.embedding_size when embedding_size!=hidden_size * fix pickle tokenizer * Update docs/source/model_doc/roformer.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * make style and make quality Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Albert Villanova del Moral
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2582e59a57
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Add DOI badge to README (#11771) | ||
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Patrick von Platen
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cebb96f53a
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Add more subsections to main doc (#11758)
* add headers to main doc * Apply suggestions from code review * update * upload |
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Julien Chaumond
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0fc56df5fb
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Add visual + link to Premium Support webpage (#11740)
* Update README.md * Update index.rst |
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Suraj Patil
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f063c56d94
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Fix clip docs (#11694)
* fix doc url * fix example |
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Suraj Patil
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8719afa1ad
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CLIP (#11445)
* begin second draft * fix import, style * add loss * fix embeds, logits_scale, and projection * fix imports * add conversion script * add feature_extractor and processor * style * add tests for tokenizer, extractor and processor * add vision model tests * add weight init * add more tests * fix save_load test * model output, dosstrings, causal mask * config doc * add clip model tests * return dict * bigin integration test * add integration tests * fix-copies * fix init * Clip => CLIP * fix module name * docs * fix doc * output_dim => projection_dim * fix checkpoint names * remoe fast tokenizer file * fix conversion script * fix tests, quality * put causal mask on device * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix attribute test * style * address sylvains comments * style * fix docstrings * add qucik_gelu in activations, docstrings * clean-up attention test * fix act fun * fix config * fix torchscript tests * even batch_size * remove comment * fix ouput tu_tuple * fix save load tests * fix add tokens test * add fast tokenizer * update copyright * new processor API * fix docs * docstrings * docs * fix doc * fix doc * fix tokenizer * fix import in doc example * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * check types of config * valhalla => openai * load image using url * fix test * typo Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Matt
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b3429ab678
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Grammar and style edits for the frontpage README (#11679)
* Grammar and style edits for the frontpage README * Going all-in on em-dashes because you only live once * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Vasudev Gupta
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dc3f6758cf
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Add BigBirdPegasus (#10991)
* init bigbird pegasus * add debugging nb ; update config * init conversion * update conversion script * complete conversion script * init forward() * complete forward() * add tokenizer * add some slow tests * commit current * fix copies * add docs * add conversion script for bigbird-roberta-summarization * remove TODO * small fixups * correct tokenizer * add bigbird core for now * fix config * fix more * revert pegasus-tokenizer back * make style * everything working for pubmed; yayygit status * complete tests finally * remove bigbird pegasus tok * correct tokenizer * correct tests * add tokenizer files * finish make style * fix test * update * make style * fix tok utils base file * make fix-copies * clean a bit * small update * fix some suggestions * add to readme * fix a bit, clean tests * fix more tests * Update src/transformers/__init__.py * Update src/transformers/__init__.py * make fix-copies * complete attn switching, auto-padding left * make style * fix auto-padding test * make style * fix batched attention tests * put tolerance at 1e-1 for stand-alone decoder test * fix docs * fix tests * correct slow tokenizer conversion * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * complete remaining suggestions * fix test Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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f3cf8ae7b3
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Add LUKE (#11223)
* Rebase with master * Minor bug fix in docs * Copy files from adding_luke_v2 and improve docs * change the default value of use_entity_aware_attention to True * remove word_hidden_states * fix head models * fix tests * fix the conversion script * add integration tests for the pretrained large model * improve docstring * Improve docs, make style * fix _init_weights for pytorch 1.8 * improve docs * fix tokenizer to construct entity sequence with [MASK] entity when entities=None * Make fix-copies * Make style & quality * Bug fixes * Add LukeTokenizer to init * Address most comments by @patil-suraj and @LysandreJik * rename _compute_extended_attention_mask to get_extended_attention_mask * add comments to LukeSelfAttention * fix the documentation of the tokenizer * address comments by @patil-suraj, @LysandreJik, and @sgugger * improve docs * Make style, quality and fix-copies * Improve docs * fix docs * add "entity_span_classification" task * update example code for LukeForEntitySpanClassification * improve docs * improve docs * improve the code example in luke.rst * rename the classification layer in LukeForEntityClassification from typing to classifier * add bias to the classifier in LukeForEntitySpanClassification * update docs to use fine-tuned hub models in code examples of the head models * update the example sentences * Make style & quality * Add require_torch to tokenizer tests * Add require_torch to tokenizer tests * Address comments by @sgugger and add community notebooks * Make fix-copies Co-authored-by: Ikuya Yamada <ikuya@ikuya.net> |
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Sylvain Gugger
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2d27900b5d
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Update min versions in README and add Flax (#11472)
* Update min versions in README and add Flax * Adapt index |
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NielsRogge
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9f1260971f
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Add DeiT (PyTorch) (#11056)
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes |
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Kevin Canwen Xu
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fb41f9f50c
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Add a special tokenizer for CPM model (#11068)
* Add a special tokenizer for CPM model * make style * fix * Add docs * styles * cpm doc * fix ci * fix the overview * add test * make style * typo * Custom tokenizer flag * Add REAMDE.md Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Julien Demouth
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02ec02d6d3
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Add nvidia megatron models (#10911)
* Add support for NVIDIA Megatron models * Add support for NVIDIA Megatron GPT2 and BERT Add the megatron_gpt2 model. That model reuses the existing GPT2 model. This commit includes a script to convert a Megatron-GPT2 checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. Add the megatron_bert model. That model is implemented as a modification of the existing BERT model in Transformers. This commit includes a script to convert a Megatron-BERT checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Remove model.half in tests + add "# Copied ..." Remove the model.half() instruction which makes tests fail on the CPU. Add a comment "# Copied ..." before many classes in the model to enable automatic tracking in CI between the new Megatron classes and the original Bert ones. * Fix issues * Fix Flax/TF tests * Fix copyright * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update docs/source/model_doc/megatron_bert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/megatron_gpt2.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Resolve most of 'sgugger' comments * Fix conversion issue + Run make fix-copies/quality/docs * Apply suggestions from code review * Causal LM & merge * Fix init * Add CausalLM to last auto class Co-authored-by: Julien Demouth <jdemouth@nvidia.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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NielsRogge
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30677dc743
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Add Vision Transformer and ViTFeatureExtractor (#10950)
* Squash all commits into one
* Update ViTFeatureExtractor to use image_utils instead of torchvision
* Remove torchvision and add Pillow
* Small docs improvement
* Address most comments by @sgugger
* Fix tests
* Clean up conversion script
* Pooler first draft
* Fix quality
* Improve conversion script
* Make style and quality
* Make fix-copies
* Minor docs improvements
* Should use fix-copies instead of manual handling
* Revert "Should use fix-copies instead of manual handling"
This reverts commit
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Suraj Patil
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860264379f
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GPT Neo (#10848)
* lets begin * boom boom * fix out proj in attn * fix attention * fix local attention * add tokenizer * fix imports * autotokenizer * fix checkpoint name * cleanup * more clean-up * more cleanup * output attentions * fix attn mask creation * fix imports * config doc * add tests * add slow tests * quality * add conversion script * copyright * typo * another bites the dust * fix attention tests * doc * add embed init in convert function * fix copies * remove tokenizer * enable caching * address review comments * improve config and create attn layer list internally * more consistent naming * init hf config from mesh-tf config json file * remove neo tokenizer from doc * handle attention_mask in local attn layer * attn_layers => attention_layers * add tokenizer_class in config * fix docstring * raise if len of attention_layers is not same as num_layers * remove tokenizer_class from config * more consistent naming * fix doc * fix checkpoint names * fp16 compat * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Vasudev Gupta
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6dfd027279
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BigBird (#10183)
* init bigbird * model.__init__ working, conversion script ready, config updated * add conversion script * BigBirdEmbeddings working :) * slightly update conversion script * BigBirdAttention working :) ; some bug in layer.output.dense * add debugger-notebook * forward() working for BigBirdModel :) ; replaced gelu with gelu_fast * tf code adapted to torch till rand_attn in bigbird_block_sparse_attention ; till now everything working :) * BigBirdModel working in block-sparse attention mode :) * add BigBirdForPreTraining * small fix * add tokenizer for BigBirdModel * fix config & hence modeling * fix base prefix * init testing * init tokenizer test * pos_embed must be absolute, attn_type=original_full when add_cross_attn=True , nsp loss is optional in BigBirdForPreTraining, add assert statements * remove position_embedding_type arg * complete normal tests * add comments to block sparse attention * add attn_probs for sliding & global tokens * create fn for block sparse attn mask creation * add special tests * restore pos embed arg * minor fix * attn probs update * make big bird fully gpu friendly * fix tests * remove pruning * correct tokenzier & minor fixes * update conversion script , remove norm_type * tokenizer-inference test add * remove extra comments * add docs * save intermediate * finish trivia_qa conversion * small update to forward * correct qa and layer * better error message * BigBird QA ready * fix rebased * add triva-qa debugger notebook * qa setup * fixed till embeddings * some issue in q/k/v_layer * fix bug in conversion-script * fixed till self-attn * qa fixed except layer norm * add qa end2end test * fix gradient ckpting ; other qa test * speed-up big bird a bit * hub_id=google * clean up * make quality * speed up einsum with bmm * finish perf improvements for big bird * remove wav2vec2 tok * fix tokenizer * include docs * correct docs * add helper to auto pad block size * make style * remove fast tokenizer for now * fix some * add pad test * finish * fix some bugs * fix another bug * fix buffer tokens * fix comment and merge from master * add comments * make style * commit some suggestions Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Fix typos * fix some more suggestions * add another patch Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix copies * another path Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * update * update nit suggestions * make style Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Lysandre
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c988db5af2 | Release v4.4.0 | ||
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Patrick von Platen
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602d63f05c
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[XLSR-Wav2Vec2] Add multi-lingual Wav2Vec2 models (#10648)
* add conversion script * add wav2vec2 xslr models * finish * Update docs/source/model_doc/xlsr_wav2vec2.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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d26b37e744
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Speech2TextTransformer (#10175)
* s2t * fix config * conversion script * fix import * add tokenizer * fix tok init * fix tokenizer * first version working * fix embeds * fix lm head * remove extra heads * fix convert script * handle encoder attn mask * style * better enc attn mask * override _prepare_attention_mask_for_generation * handle attn_maks in encoder and decoder * input_ids => input_features * enable use_cache * remove old code * expand embeddings if needed * remove logits bias * masked_lm_loss => loss * hack tokenizer to support feature processing * fix model_input_names * style * fix error message * doc * remove inputs_embeds * remove input_embeds * remove unnecessary docstring * quality * SpeechToText => Speech2Text * style * remove shared_embeds * subsample => conv * remove Speech2TextTransformerDecoderWrapper * update output_lengths formula * fix table * remove max_position_embeddings * update conversion scripts * add possibility to do upper case for now * add FeatureExtractor and Processor * add tests for extractor * require_torch_audio => require_torchaudio * add processor test * update import * remove classification head * attention mask is now 1D * update docstrings * attention mask should be of type long * handle attention mask from generate * alwyas return attention_mask * fix test * style * doc * Speech2TextTransformer => Speech2Text * Speech2TextTransformerConfig => Speech2TextConfig * remove dummy_inputs * nit * style * multilinguial tok * fix tokenizer * add tgt_lang setter * save lang_codes * fix tokenizer * add forced_bos_token_id to tokenizer * apply review suggestions * add torchaudio to extra deps * add speech deps to CI * fix dep * add libsndfile to ci * libsndfile1 * add speech to extras all * libsndfile1 -> libsndfile1 * libsndfile * libsndfile1-dev * apt update * add sudo to install * update deps table * install libsndfile1-dev on CI * tuple to list * init conv layer * add model tests * quality * add integration tests * skip_special_tokens * add speech_to_text_transformer in toctree * fix tokenizer * fix fp16 tests * add tokenizer tests * fix copyright * input_values => input_features * doc * add model in readme * doc * change checkpoint names * fix copyright * fix code example * add max_model_input_sizes in tokenizer * fix integration tests * add do_lower_case to tokenizer * remove clamp trick * fix "Add modeling imports here" * fix copyrights * fix tests * SpeechToTextTransformer => SpeechToText * fix naming * fix table formatting * fix typo * style * fix typos * remove speech dep from extras[testing] * fix copies * rename doc file, * put imports under is_torch_available * run feat extract tests when torch is available * dummy objects for processor and extractor * fix imports in tests * fix import in modeling test * fxi imports * fix torch import * fix imports again * fix positional embeddings * fix typo in import * adapt new extractor refactor * style * fix torchscript test * doc * doc * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * fix docs, copied from, style * fix docstring * handle imports * remove speech from all extra deps * remove s2t from seq2seq lm mapping * better names * skip training tests * add install instructions * List => Tuple * doc * fix conversion script * fix urls * add instruction for libsndfile * fix fp16 test Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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f6e74a63ca
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Add m2m100 (#10236)
* m2m_100 * no layernorm_embedding * sinusoidal positional embeddings * update pos embeddings * add default config values * tokenizer * add conversion script * fix config * fix pos embed * remove _float_tensor * update tokenizer * update lang codes * handle lang codes * fix pos embeds * fix spm key * put embedding weights on device * remove qa and seq classification heads * fix convert script * lang codes pn one line * fix embeds * fix tokenizer * fix tokenizer * add fast tokenizer * style * M2M100MT => M2M100 * fix copyright, style * tokenizer converter * vocab file * remove fast tokenizer * fix embeds * fix tokenizer * fix tests * add tokenizer tests * add integration test * quality * fix model name * fix test * doc * doc * fix doc * add copied from statements * fix tokenizer tests * apply review suggestions * fix urls * fix shift_tokens_right * apply review suggestions * fix * fix doc * add lang code to id * remove unused function * update checkpoint names * fix copy * fix tokenizer * fix checkpoint names * fix merge issue * style |
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Lysandre Debut
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0c2325198f
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Add I-BERT to README (#10462) | ||
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Lysandre Debut
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cd8c4c3fc2
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DeBERTa-v2 fixes (#10328)
Co-authored-by: Pengcheng He <penhe@microsoft.com> Co-authored-by: Pengcheng He <penhe@microsoft.com> |
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Pengcheng He
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9a7e63729f
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Integrate DeBERTa v2(the 1.5B model surpassed human performance on Su… (#10018)
* Integrate DeBERTa v2(the 1.5B model surpassed human performance on SuperGLUE); Add DeBERTa v2 900M,1.5B models; * DeBERTa-v2 * Fix v2 model loading issue (#10129) * Doc members * Update src/transformers/models/deberta/modeling_deberta.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address Sylvain's comments * Address Patrick's comments Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Style Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Suraj Patil
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6fc940ed09
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Add mBART-50 (#10154)
* add tokenizer for mBART-50 * update tokenizers * make src_lang and tgt_lang optional * update tokenizer test * add setter * update docs * update conversion script * update docs * update conversion script * update tokenizer * update test * update docs * doc * address Sylvain's suggestions * fix test * fix formatting * nits |
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Sylvain Gugger
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6710d1d5ef | Typo fix | ||
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yylun
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5442a11f5f
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fix steps_in_epoch variable in trainer when using max_steps (#9969)
* fix steps_in_epoch variable when using max_steps
* redundant sentence
* Revert "redundant sentence"
This reverts commit
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Patrick von Platen
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d6217fb30c
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Wav2Vec2 (#9659)
* add raw scaffold * implement feat extract layers * make style * remove + * correctly convert weights * make feat extractor work * make feature extraction proj work * run forward pass * finish forward pass * Succesful decoding example * remove unused files * more changes * add wav2vec tokenizer * add new structure * fix run forward * add other layer norm architecture * finish 2nd structure * add model tests * finish tests for tok and model * clean-up * make style * finish docstring for model and config * make style * correct docstring * correct tests * change checkpoints to fairseq * fix examples * finish wav2vec2 * make style * apply sylvains suggestions * apply lysandres suggestions * change print to log.info * re-add assert statement * add input_values as required input name * finish wav2vec2 tokenizer * Update tests/test_tokenization_wav2vec2.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * apply sylvains suggestions Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Stas Bekman
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15e4ce353a
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[docs] expand install instructions (#9817)
* expand install instructions * fix * white space * rewrite as discussed in the PR * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * change the wording to encourage issue report Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Stefan Schweter
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5ed5a54684
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ADD BORT (#9813)
* tests: add integration tests for new Bort model
* bort: add conversion script from Gluonnlp to Transformers 🚀
* bort: minor cleanup (BORT -> Bort)
* add docs
* make fix-copies
* clean doc a bit
* correct docs
* Update docs/source/model_doc/bort.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/model_doc/bort.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* correct dialogpt doc
* correct link
* Update docs/source/model_doc/bort.rst
* Update docs/source/model_doc/dialogpt.rst
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* make style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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abhishek thakur
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f617490e71
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ConvBERT Model (#9717)
* finalize convbert
* finalize convbert
* fix
* fix
* fix
* push
* fix
* tf image patches
* fix torch model
* tf tests
* conversion
* everything aligned
* remove print
* tf tests
* fix tf
* make tf tests pass
* everything works
* fix init
* fix
* special treatment for sepconv1d
* style
* 🙏🏽
* add doc and cleanup
* add electra test again
* fix doc
* fix doc again
* fix doc again
* Update src/transformers/modeling_tf_pytorch_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/models/conv_bert/configuration_conv_bert.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update docs/source/model_doc/conv_bert.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/auto/configuration_auto.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/conv_bert/configuration_conv_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* conv_bert -> convbert
* more fixes from review
* add conversion script
* dont use pretrained embed
* unused config
* suggestions from julien
* some more fixes
* p -> param
* fix copyright
* fix doc
* Update src/transformers/models/convbert/configuration_convbert.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* comments from reviews
* fix-copies
* fix style
* revert shape_list
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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Lysandre
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7d9a9d0c72 | Release: v4.2.0 | ||
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Patrick von Platen
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9e1ea846bc
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[README] Add new models (#9465)
* add new models * make fix-copies |
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Clement
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4eec5d0cf6
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improve readme text to private models/versioning/api (#9424) | ||
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Sylvain Gugger
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6d2e864db7
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Put all models in the constants (#9170)
* Put all models in the constants * Add Google AI mention in the main README |