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276 Commits
| Author | SHA1 | Message | Date | |
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Anahita Bhiwandiwalla
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de81adf978
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[WIP] Add BridgeTowerForContrastiveLearning (#21964)
* Add BridgeTower for ITC * Fix review feedback * Rename BridgeTowerForITC, cleanup * Fix style and quality * implement tests --------- Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com> Co-authored-by: Tiep Le <tiep.le@intel.com> |
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Eli Simhayev
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8abe4930d3
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[Time-Series] informer model (#21099)
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask 😃 * Revert "remove unused libs for this PR for creating the env" This reverts commit |
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Yih-Dar
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8c40ba73d8
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Avoid failure in check_repo.py due to missing backends (#21930)
* Update utils/check_repo.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update utils/check_repo.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yih-Dar
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02a77fa04c
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Cleanup more auto mapping names (#21909)
* fix auto 2 * fix auto 2 * fix task guide issue * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Yih-Dar
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99ba36e72f
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Clean up auto mapping names (#21903)
* add new test * fix after new test --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Alara Dirik
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269b054939
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Add ALIGN to transformers (#21741)
Adds the ALIGN model to transformers. ALIGN is introduced in "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" by Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig. |
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Matt
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f7c618e3b0
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Add TFVisionTextDualEncoder (#21873)
* Temporary commit to stash everything so far * Temporary commit to stash everything so far * stash commit * Refactor from_pretrained * Fix final test, make fixup * Update dummies * Add model to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Add TFVisionTextDualEncoder to utils/documentation_tests.txt * make fixup --------- Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> |
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Aaron Gokaslan
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5e8c8eb5ba
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Apply ruff flake8-comprehensions (#21694) | ||
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Yih-Dar
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ed6ceb7649
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Fix typo in PROCESSOR_MAPPING_NAMES and add tests (#21703)
* Add test * Fix GITProcessor * Update --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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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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Andy Ehrenberg
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2840272c5f
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add flax whisper implementation (#20479)
* add flax whisper implementation * rever change to setup * remove unused imports * revert generation changes * flax whisper docs * docs * import order * import sorting * isort * add dummy objects * doc formatting * formatting * remove trailing whitespaces * fix flax whisper docs * add generation logic to unlock flax whisper * remove scans * give credits to Flax Bart implementation * remove unused imports * add license * remove assert * more credits to Bart * fix style * formatting * support left padding * add flax whisper generation test * remove copied from comments whenever not a full copy * fix docstrings for logits processors * revert change to FlaxForceTokensLogitsProcessor * revert doc changes * improve generation docs * reorganize * formatting * cleanup docs * add tests * handle empty list case * fix forced decoder ids in flax tests * add flax whisper to inits * upate dummy objects * docs for FlaxAutoModelForSpeechSeq2Seq * fix decoder_position_ids computation in pretrained model decode/__call__ fns * add Copied from statements as necessary * compute position_ids only in __call__ and decode methods of pretrained model subclasses * improve readabilityof compute positional embeddings * check dimensionality of input_features instead of hidden_states * copied from statement for init_cache * formatting * fix copies * fix copies * pass attention mask to encoder layers * fix decoder module outputs * set dtype Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * smaller flax model for whisper test * Update src/transformers/generation/flax_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/models/whisper/test_modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * cleanup Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * bias cleanup * doc fix * align style for force tokens processor * readability * fix input shape in tests * revert FlaxGenerationMixin docstring * formatting * fix tests * fix imports * consistent encoder hidden states * consistent hidden states * input shapes * typo * partial class trick * partial class for input shape * base_class with correct input shape * partial base classes * match by name * set main_input_name * compare on names * formatting * remove unused import * safer position ids computation * safer position id computation * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/whisper/modeling_flax_whisper.py Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * remove identical inherited tests * fix prompt ids in tests * use generation config * use jnp array * better var names * more explicit bias use * import transformers * formatting * test formatting * remove unused imports * remove unused imports * formatting * isort * docs * fix ln orders for encoder hidden states * whisper unique generation stuff * flake * use finfo for attention bias * docs * Update src/transformers/generation/flax_utils.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * docs * add timestamp flax test * jit for timestamps * formatting * clean up timestamps processor * formatting * remove if_true * cleanup --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@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> |
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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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Connor Henderson
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0f96c26de6
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refactor: Make direct_transformers_import util (#21652)
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string |
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Sylvain Gugger
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9d1116e995
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Update deprecated load_module (#21651) | ||
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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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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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Sylvain Gugger
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6f79d26442
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Update quality tooling for formatting (#21480)
* Result of black 23.1 * Update target to Python 3.7 * Switch flake8 to ruff * Configure isort * Configure isort * Apply isort with line limit * Put the right black version * adapt black in check copies * 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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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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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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Sujay
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15e17c99f9
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Remove T5 dependency from mT5 model (#20949)
make mt5 independent from t5 |
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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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NielsRogge
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7f99861218
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Add Universal Segmentation class + mapping (#20766)
* Add mapping * Add mapping to pipeline * Apply suggestions * Fix feature extractor tests * Use ForInstance, add model to universal mapping * More fixes * Remove model from deprecated objectsé Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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67acb07e9e
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Add Swin backbone (#20769)
* Add Swin backbone * Remove line * Add code example Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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6ef42587ae
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[NAT, DiNAT] Add backbone class (#20654)
* Add first draft * Add out_features attribute to config * Add corresponding test * Add Dinat backbone * Add BackboneMixin * Add Backbone mixin, improve tests * Fix embeddings * Fix bug * Improve backbones * Fix Nat backbone tests * Fix Dinat backbone tests * Apply suggestions 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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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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6dc884abc8
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[Maskformer] Add MaskFormerSwin backbone (#20344)
* First draft * Fix backwards compatibility * More fixes * More fixes * Make backbone more general * Improve backbone * Improve test * Fix config checkpoint * Address comments * Use model_type * Address more comments * Fix special model names * Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init * Fix typo * Update backbone * Apply suggestion Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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0bae286de9
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[AutoBackbone] Improve API (#20407)
* Add hidden states and attentions to backbone outputs * Update ResNet * Fix more tests * Debug test * Fix test_determinism * Fix test_save_load * Remove file * Disable fx tests * Test * Add fx support for backbones Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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NielsRogge
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6b217c52e6
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Add AutoBackbone + ResNetBackbone (#20229)
* Add ResNetBackbone * Define channels and strides as property * Remove file * Add test for backbone * Update BackboneOutput class * Remove strides property * Fix docstring * Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE * Fix auto mapping name * Add sanity check for out_features * Set stage names based on depths * Update to tuple Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> |
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Suraj Patil
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7f74433814
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[CLIP] allow loading projection layer in vision and text model (#18962)
* allow loading projection in text and vision model * begin tests * finish test for CLIPTextModelTest * style * add slow tests * add new classes for projection heads * remove with_projection * add in init * add in doc * fix tests * fix some more tests * fix copies * fix docs * remove leftover from fix-copies * add the head models in IGNORE_NON_AUTO_CONFIGURED * fix docstr * fix tests * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * add docstr for models Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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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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Arthur
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61a51f5f23
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Add Jukebox model (replaces #16875) (#17826) | ||
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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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7f9b7b3f0e
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Add ESMFold (#19977)
* initial commit * First draft that gets outputs without crashing! * Add all the ported openfold dependencies * testing * Restructure config files for ESMFold * Debugging to find output discrepancies * Mainly style * Make model runnable without extra deps * Remove utils and merge them to the modeling file * Use correct gelu and remove some debug prints * More cleanup * Update esm docs * Update conversion script to support ESMFold properly * Port some top-level changes from ESMFold repo * Expand EsmFold docstrings * Make attention_mask optional (default to all 1s) * Add inference test for ESMFold * Use config and not n kwargs * Add modeling output class * Remove einops * Remove chunking in ESM FFN * Update tests for ESMFold * Quality * REpo consistency * Remove tree dependency from ESMFold * make fixup * Add an error in case my structure map function breaks later * Remove needless code * Stop auto-casting the LM to float16 so CPU tests pass * Stop auto-casting the LM to float16 so CPU tests pass * Final test updates * Split test file * Copyright and quality * Unpin PyTorch to see built doc * Fix config file to_dict() method * Add some docstrings to the output * Skip TF checkpoint tests for ESM until we reupload those * make fixup * More docstrings * Unpin to get even with main * Flag example to write Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com> |
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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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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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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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Aritra Roy Gosthipaty
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0dc7b3a785
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[TensorFlow] Adding GroupViT (#18020)
* chore: initial commit * chore: adding util methods yet to work on the nn.functional.interpolate port with align_corener=True * chore: refactor the utils * used tf.compat.v1.image.resize to align the F.interpolate function * added type hints to the method signatures * added references to the gists where one 2 one alignment of torch and tf has been shown * chore: adding the layers * chore: porting all the layers from torch to tf This is the initial draft, nothing is tested yet. * chore: aligning the layers with reference to tf clip * chore: aligning the modules * added demaraction comments * added copied and adapted from comments * chore: aligning with CLIP * chore: wrangling the layers to keep it tf compatible * chore: aligning the names of the layers for porting * chore: style changes * chore: adding docs and inits * chore: adding tfp dependencis the code is taken from TAPAS * chore: initial commit for testing * chore: aligning the vision embeddings with the vit implementatino * chore: changing model prefix * chore: fixing the name of the model and the layer normalization test case * chore: every test passes but the slow ones * chore: fix style and integration test * chore: moving comments below decorators * chore: make fixup and fix-copies changes * chore: adding the Vision and Text Model to check_repo * chore: modifying the prefix name to align it with the torch implementation * chore: fix typo in configuration * choer: changing the name of the model variable * chore: adding segmentation flag * chore: gante's review * chore: style refactor * chore: amy review * chore: adding shape_list to parts that have been copied from other snippets * chore: init batchnorm with torch defaults * chore: adding shape_list to pass the tests * test fix: adding seed as 0 * set seed * chore: changing the straight through trick to fix -ve dimensinos * chore: adding a dimension to the loss * chore: adding reviewers and contributors names to the docs * chore: added changes after review * chore: code quality fixup * chore: fixing the segmentation snippet * chore: adding to the layer calls * chore: changing int32 to int64 for inputs of serving * chore: review changes * chore: style changes * chore: remove from_pt=True * fix: repo consistency Co-authored-by: ydshieh <ydshieh@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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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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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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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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Ankur Goyal
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5c4c869014
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Add LayoutLMForQuestionAnswering model (#18407)
* Add LayoutLMForQuestionAnswering model * Fix output * Remove TF TODOs * Add test cases * Add docs * TF implementation * Fix PT/TF equivalence * Fix loss * make fixup * Fix up documentation code examples * Fix up documentation examples + test them * Remove LayoutLMForQuestionAnswering from the auto mapping * Docstrings * Add better docstrings * Undo whitespace changes * Update tokenizers in comments * Fixup code and remove `from_pt=True` * Fix tests * Revert some unexpected docstring changes * Fix tests by overriding _prepare_for_class Co-authored-by: Ankur Goyal <ankur@impira.com> |
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NielsRogge
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b83796ded7
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Remove ViltForQuestionAnswering from check_repo (#18762)
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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Sylvain Gugger
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377cdded7a
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Clean up hub (#18497)
* Clean up utils.hub * Remove imports * More fixes * Last fix |
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gilad19
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2b09650885
|
Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) (#17924)
* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) * Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) * provide classifier only text hidden states * add test_for_token_classification * Update src/transformers/models/vilt/modeling_vilt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/vilt/modeling_vilt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/vilt/modeling_vilt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/vilt/modeling_vilt.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add test_for_token_classification Co-authored-by: gfuchs <gfuchs@ebay.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Alara Dirik
|
12d66b4701
|
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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Sayak Paul
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561b9a8c00
|
[SegFormer] TensorFlow port (#17910)
* add: segformer utils and img. classification. * add: segmentation layer. * feat: working implementation of segformer. * chore: remove unused variable. * add test, remaining modifications. * remove: unnecessary files. * add: rest of the files. Co-authored-by: matt <rocketknight1@gmail.com> * chore: remove ModuleList comment. * chore: apply make style. * chore: apply make fixup-copies. * add to check_repo.py * add decode head to IGNORE_NON_TESTED * chore: run make style. * chore: PR comments. * chore: minor changes to model doc. * tests: reduction across samples. * add a note on the space. * sort importats. * fix: reduction in loss computation. * chore: align loss function with that of NER. * chore: correct utils/documentation_tests.txt Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * chore: simplify the interpolation of logits in loss computation. * chore: return transposed logits when return_dict=False. * chore: add link to the tf fine-tuning repo. * address pr comments. * address niels's comments. * remove from_pt=True since tf weights are in. * remove comment from pt model. * address niels's comments. Co-authored-by: matt <rocketknight1@gmail.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> |
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|
StevenTang1998
|
3cff4cc587
|
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
|
6c8f4c9a93
|
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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|
Daniel Stancl
|
a72f1c9f5b
|
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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|
Bram Vanroy
|
73083581a4
|
explicitly set utf8 for Windows (#17664) | ||
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Chan Woo Kim
|
119e3c0fc8
|
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
|
afe5d42d8d
|
Black preview (#17217)
* Black preview * Fixup too! * Fix check copies * Use the same version as the CI * Bump black |
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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
|
[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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|
Yih-Dar
|
19420fd99e
|
Move test model folders (#17034)
* move test model folders (TODO: fix imports and others) * fix (potentially partially) imports (in model test modules) * fix (potentially partially) imports (in tokenization test modules) * fix (potentially partially) imports (in feature extraction test modules) * fix import utils.test_modeling_tf_core * fix path ../fixtures/ * fix imports about generation.test_generation_flax_utils * fix more imports * fix fixture path * fix get_test_dir * update module_to_test_file * fix get_tests_dir from wrong transformers.utils * update config.yml (CircleCI) * fix style * remove missing imports * update new model script * update check_repo * update SPECIAL_MODULE_TO_TEST_MAP * fix style * add __init__ * update self-scheduled * fix add_new_model scripts * check one way to get location back * python setup.py build install * fix import in test auto * update self-scheduled.yml * update slack notification script * Add comments about artifact names * fix for yolos Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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|
Sanchit Gandhi
|
cd9274d010
|
[FlaxBert] Add ForCausalLM (#16995)
* [FlaxBert] Add ForCausalLM * make style * fix output attentions * Add RobertaForCausalLM * remove comment * fix fx-to-pt model loading * remove comment * add modeling tests * add enc-dec model tests * add big_bird * add electra * make style * make repo-consitency * add to docs * remove roberta test * quality * amend cookiecutter * fix attention_mask bug in flax bert model tester * tighten pt-fx thresholds to 1e-5 * add 'copied from' statements * amend 'copied from' statements * amend 'copied from' statements * quality |
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|
Yih-Dar
|
1f9e862507
|
Update check_models_are_tested to deal with Windows path (#16973)
* fix * Apply suggestions from code review Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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|
Yih-Dar
|
596afb4297
|
Fix check_all_models_are_tested (#16970)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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|
Patrick von Platen
|
8d3f952adb
|
[Data2Vec] Add data2vec vision (#16760)
* save intermediate * add vision * add vision * save * finish models * finish models * continue * finish * up * up * up * tests all pass * clean up * up * up * fix bugs in beit * correct docs * finish * finish docs * make style * up * more fixes * fix type hint * make style * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/data2vec/test_modeling_data2vec_vision.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix test 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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Sylvain Gugger
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b9a768b3ff
|
Enable doc in Spanish (#16518)
* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates |
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NielsRogge
|
979b039c89
|
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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|
Edward Beeching
|
aff9bc405a
|
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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Sylvain Gugger
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4975002df5
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Reorganize file utils (#16264)
* Split file_utils in several submodules * Fixes * Add back more objects * More fixes * Who exactly decided to import that from there? * Second suggestion to code with code review * Revert wront move * Fix imports * Adapt all imports * Adapt all imports everywhere * Revert this import, will fix in a separate commit |
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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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Sanchit Gandhi
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b256f3518d
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Add FlaxBartForCausalLM (#15995)
* add causal lm * add CausalLM tests * Add FlaxBartForCausalLM * Add EncoderDecoder model tests * change docstring * make repo-consistency * suggested changes * remove jax ops * correction * rename pre-trained decoder model |
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Javier de la Rosa
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01485ceec3
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Add missing support for Flax XLM-RoBERTa (#15900)
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Remove test on large Flask XLM-RoBERTa * Add tokenizer to the test Co-authored-by: Suraj Patil <surajp815@gmail.com> |
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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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Sanchit Gandhi
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e3342edc4e
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Flax Speech-Encoder-Decoder Model (#15613)
* rebase * Delete shift tokens func * downsample decoder input seq len for init * correct attention mask * add tests * pt flax cross test * make fixup * init file for import * change pt-flax cross test threshold * pt-flax test logits only * move tests * make repo-consistency * consistent indentation Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Lysandre Debut
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0400b2263d
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[Test refactor 2/5] Tests fetcher (#15726)
* Tests fetcher * Review comments Co-authored-by: sgugger <sylvain.gugger@gmail.com> Review comments |
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Gunjan Chhablani
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ae1f835028
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Add PLBart (#13269)
* Init PLBART * Add missing configuration file * Add conversion script and configurationf ile * Fix style * Update modeling and conversion scripts * Fix scale embedding in config * Add comment * Fix conversion script * Add classification option to conversion script * Fix vocab size in config doc * Add tokenizer files from MBart50 * Allow no lang code in regular tokenizer * Add PLBart Tokenizer Converters * Remove mask from multi tokenizer * Remove mask from multi tokenizer * Change from MBart-50 to MBart tokenizer * Fix names and modify src/tgt behavior * Fix imports for tokenizer * Remove <mask> from multi tokenizer * Fix style * Change tokenizer_class to processor_class * Add attribute map to config class * Update modeling file to modified MBart code * Update configuration file to MBart style configuration * Fix tokenizer * Separate tokenizers * Fix error in tokenization auto * Copy MBart tests * Replace with MBart tokenization tests * Fix style * Fix language code in multi tokenizer * Fix configuration docs * Add entry for plbart_multi in transformers init * Add dummy objects and fix imports * Fix modeling tests * Add TODO in config * Fix copyright year * Fix modeling docs and test * Fix some tokenization tests and style * Add changes from review * Fix copies * Fix docs * Fix docs * Fix style * Fix year * Add changes from review * Remove extra changes * Fix base tokenizer and doc * Fix style * Fix modeling and slow tokenizer tests * Remove Multi-tokenizer Converter and Tests * Delete QA model and Multi Tokenizer dummy objects * Fix repo consistency and code quality issues * Fix example documentation * Fix style * Remove PLBartTokenizer from type checking in init * Fix consistency issue * Add changes from review * Fix style * Remove PLBartTokenizerFast * Remove FastTokenizer converter * Fix AutoTokenzier mapping * Add plbart to toctree and fix consistency issues * Add language codes tokenizer test * Fix styling and doc issues * Add fixes for failing tests * Fix copies * Fix failing modeling test * Change assert to assertTrue in modeling tests |
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Sylvain Gugger
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ac6aa10f23
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Standardize semantic segmentation models outputs (#15469)
* Standardize instance segmentation models outputs * Rename output * Update src/transformers/modeling_outputs.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add legacy argument to the config and model forward * Update src/transformers/models/beit/modeling_beit.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Copy fix in Segformer Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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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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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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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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Sylvain Gugger
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1b730c3d11
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Better dummies (#15148)
* Better dummies * See if this fixes the issue * Fix quality * Style * Add doc for DummyObject |
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Yih-Dar
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b67fd797be
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Add TFVisionEncoderDecoderModel (#14148)
* Start the work on TFVisionEncoderDecoderModel * Expose TFVisionEncoderDecoderModel * fix import * Add modeling_tf_vision_encoder_decoder to _ignore_modules in get_model_modules() * reorder * Apply the fix for checkpoint loading as in #14016 * remove attention_mask + fix VISION_DUMMY_INPUTS * A minimal change to make TF generate() work for vision models as encoder in encoder-decoder setting * fix wrong condition: shape_list(input_ids) == 2 * add tests * use personal TFViTModel checkpoint (for now) * Add equivalence tests + projection layer * style * make sure projection layer can run * Add examples * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Clean comments (need to work on TODOs for PyTorch models) * Remove TF -> PT in check_pt_tf_equivalence for TFVisionEncoderDecoderModel * fixes * Revert changes in PT code. * Update tests/test_modeling_tf_vision_encoder_decoder.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Add test_inference_coco_en for TF test * fix quality * fix name * build doc * add main_input_name * Fix ckpt name in test * fix diff between master and this PR * fix doc * fix style and quality * fix missing doc * fix labels handling * Delete auto.rst * Add the changes done in #14016 * fix prefix * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make style Co-authored-by: ydshieh <ydshieh@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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Kamal Raj
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9fbf7c87c3
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Update check_repo.py (#15014)
added new line |
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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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Yih-Dar
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8f2cc1c3ab
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Add TFCLIPModel (#13967)
* Start the work for TFCLIPModel * Convert to TF code (TODO: loss + doc) * Clean up * Fix pooled_output for TFCLIPTextTransformer - using tf.gather_nd * assert -> raise error * Expose TFCLIPModel * Deal with dummy_inputs * Add tests * Fix all tests. TODO: manual check weight loading + add more comments * Fix pt tf equivalence test * fixes * update TFCLIPVisionEmbeddings's Conv2D * Fix loss + overwrite test_pt_tf_model_equivalence from common * Add a comment about the change about MainLayer in test_keras_save_load * Set return_loss=True in TFCLIPModelTester + make tests pass * overwrite test_pt_tf_model_equivalence from tf common * fix base_model_prefix * Fix examples * remove unused * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * apply review suggestions * change self.pre_layrnorm to self.pre_layernorm * apply more review suggestions * return attention probs before dropout (to align with PT) * fix weight init * fix * build doc * fix missing doc * fix for test Co-authored-by: ydshieh <ydshieh@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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e37bc579fc | Fix typo in error message | ||
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Sylvain Gugger
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27b3031de2
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Mass conversion of documentation from rst to Markdown (#14866)
* Convert docstrings of all configurations and tokenizers * Processors and fixes * Last modeling files and fixes to models * Pipeline modules * Utils files * Data submodule * All the other files * Style * Missing examples * Style again * Fix copies * Say bye bye to rst docstrings forever |
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Sylvain Gugger
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7533d30acd
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Convert Trainer doc page to MarkDown (#14753)
* Convert Trainer doc page to MarkDown * Fix repo consistency * Fix the doc build test job |
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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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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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Suraj Patil
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fc1d97f29d
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VisionTextDualEncoder (#13511)
* init vision_text_dual_encoder * fix merge * remove extra heads * fix tests * remove VISION_TEXT_DUAL_ENCODER_PRETRAINED_CONFIG_ARCHIVE_MAP * remove archive map * fix imports * fix more imports * fix init * delete tokenizers * fix imports * clean * support clip's vision model * handle None config * begin tests * more test and few fixes * warn about newly init weights * more tests * add loss to model * remove extra classes from doc * add processor * doc and small fixes * add start docstr * update flax model * flax tests * more flax tests * doc * quality * doc and quality * fix doc * doc * remove comments * update warning * quality * fix docs * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * replace asserts, fix imports * update imports * fix import * address some review comments * fix check * reduce tolerance * fix test * add flax integration test * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * address Sylvain's comments * fix style * add pt_flax_equivalence test in PT tests * add pt integration test * update test * use pre-trained checkpoint in examples 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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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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Yih-Dar
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95b3ec3bc9
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Add FlaxVisionEncoderDecoderModel (#13359)
* Start the work on FlaxVisionEncoderDecoderModel * Add FlaxVisionEncoderDecoderModel * Add VisionEncoderDecoderConfig * Make FlaxVisionEncoderDecoderModel visible to transformers * Add test * Fix wrong getattr usage * Fix tests * Add FlaxAutoModelForVision2Seq * Expose FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING * clean-up * add integration test * update expected logits * update expected scores * Add ViT2GPT2ModelIntegrationTest + some cleaning * Add projection layer + PT/Flax equivalence tests * Fix import * minor changes * make test slow again * Apply suggestions * Add modeling_flax_vision_encoder_decoder to _ignore_modules in get_model_modules() * fix copies * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> * split long strings in multiple lines * decoder_input_ids can't be None * Add back test_configuration_tie * Remove attention_mask parameter * fix test - encoder_last_hidden_state should be encoder_outputs.last_hidden_state instead of the projected vector * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Remove more encoder_attention_mask * remove encoder_attention_mask when calling self.decode (in FlaxVisionEncoderDecoderModule) * Fix style + pass 1s instead of None as encoder_attention_mask * fix init_weights * pass None for encoder_attention_mask * pass 1s instead of None as encoder_attention_mask * Fix doc style Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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NielsRogge
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e20faa6f03
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Add BeitForSemanticSegmentation (#14096)
* Add first draft * Make forward pass work * Improve conversion script * Add notebook that checks if it works * Add BeitForSemanticSegmentation to the tests * More improvements * Make BeitForSemanticSegmentation consistent with Segformer * Small bug fix * Add BeitForSemanticSegmentation to docs * Make sure model doesn't output hidden states when the user doesn't want to * Make it possible to convert the large model * Fix issue * Fix conversion script for large model * Add auxiliary_head option to semantic segmentation model * Apply suggestions from @sgugger's review * Apply suggestions from code review * Fix failing test Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Yih-Dar
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9450bfcc6c
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Add more missing models to models/__init__.py (#14177)
* Add missing models to models/__init__.py * Fix issues previously undetected * Add UniSpeechSatForPreTraining to all_model_classes * fix unispeech sat * fix * Add check_model_list() to check_repo.py * Remove _ignore_models = ["bort"] Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com> |
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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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Yih-Dar
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840fc8dbca
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Add vision_encoder_decoder to models/__init__.py (#14151)
* Add vision_encoder_decoder * Update _ignore_modules in get_model_modules() Co-authored-by: ydshieh <ydshieh@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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Yih-Dar
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8b240a0661
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Add TFEncoderDecoderModel + Add cross-attention to some TF models (#13222)
* Add cross attentions to TFGPT2Model * Add TFEncoderDecoderModel * Add TFBaseModelOutputWithPoolingAndCrossAttentions * Add cross attentions to TFBertModel * Fix past or past_key_values argument issue * Fix generation * Fix save and load * Add some checks and comments * Clean the code that deals with past keys/values * Add kwargs to processing_inputs * Add serving_output to TFEncoderDecoderModel * Some cleaning + fix use_cache value issue * Fix tests + add bert2bert/bert2gpt2 tests * Fix more tests * Ignore crossattention.bias when loading GPT2 weights into TFGPT2 * Fix return_dict_in_generate in tf generation * Fix is_token_logit_eos_token bug in tf generation * Finalize the tests after fixing some bugs * Fix another is_token_logit_eos_token bug in tf generation * Add/Update docs * Add TFBertEncoderDecoderModelTest * Clean test script * Add TFEncoderDecoderModel to the library * Add cross attentions to TFRobertaModel * Add TFRobertaEncoderDecoderModelTest * make style * Change the way of position_ids computation * bug fix * Fix copies in tf_albert * Remove some copied from and apply some fix-copies * Remove some copied * Add cross attentions to some other TF models * Remove encoder_hidden_states from TFLayoutLMModel.call for now * Make style * Fix TFRemBertForCausalLM * Revert the change to longformer + Remove copies * Revert the change to albert and convbert + Remove copies * make quality * make style * Add TFRembertEncoderDecoderModelTest * make quality and fix-copies * test TFRobertaForCausalLM * Fixes for failed tests * Fixes for failed tests * fix more tests * Fixes for failed tests * Fix Auto mapping order * Fix TFRemBertEncoder return value * fix tf_rembert * Check copies are OK * Fix missing TFBaseModelOutputWithPastAndCrossAttentions is not defined * Add TFEncoderDecoderModelSaveLoadTests * fix tf weight loading * check the change of use_cache * Revert the change * Add missing test_for_causal_lm for TFRobertaModelTest * Try cleaning past * fix _reorder_cache * Revert some files to original versions * Keep as many copies as possible * Apply suggested changes - Use raise ValueError instead of assert * Move import to top * Fix wrong require_torch * Replace more assert by raise ValueError * Add test_pt_tf_model_equivalence (the test won't pass for now) * add test for loading/saving * finish * finish * Remove test_pt_tf_model_equivalence * Update tf modeling template * Remove pooling, added in the prev. commit, from MainLayer * Update tf modeling test template * Move inputs["use_cache"] = False to modeling_tf_utils.py * Fix torch.Tensor in the comment * fix use_cache * Fix missing use_cache in ElectraConfig * Add a note to from_pretrained * Fix style * Change test_encoder_decoder_save_load_from_encoder_decoder_from_pt * Fix TFMLP (in TFGPT2) activation issue * Fix None past_key_values value in serving_output * Don't call get_encoderdecoder_model in TFEncoderDecoderModelTest.test_configuration_tie until we have a TF checkpoint on Hub * Apply review suggestions - style for cross_attns in serving_output * Apply review suggestions - change assert + docstrings * break the error message to respect the char limit * deprecate the argument past * fix docstring style * Update the encoder-decoder rst file * fix Unknown interpreted text role "method" * fix typo Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Kamal Raj
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a2dec768a2
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beit-flax (#13515)
* beit-flax * updated FLAX_BEIT_MLM_DOCSTRING * removed bool_masked_pos from classification * updated Copyright * code refactoring: x -> embeddings * updated test: rm from_pt * Update docs/source/model_doc/beit.rst * model code dtype updates and other changes according to review * relative_position_bias revert back to pytorch design |
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Anton Lozhkov
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b9c6a97694
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Add the AudioClassificationPipeline (#13342)
* Add the audio classification pipeline * Remove autoconfig exception * Mark ffmpeg test as slow * Rearrange pipeline tests * Add small test * Replace asserts with ValueError |
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Anton Lozhkov
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b6f332ecaf
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Add Wav2Vec2 & Hubert ForSequenceClassification (#13153)
* Add hubert classifier + tests * Add hubert classifier + tests * Dummies for all classification tests * Wav2Vec2 classifier + ER test * Fix hubert integration tests * Add hubert IC * Pass tests for all classification tasks on Hubert * Pass all tests + copies * Move models to the SUPERB org |
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Yih-Dar
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2e20c0f34a
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Make Flax GPT2 working with cross attention (#13008)
* make flax gpt2 working with cross attention * Remove encoder->decoder projection layer * A draft (incomplete) for FlaxEncoderDecoderModel * Add the method from_encoder_decoder_pretrained + the docstrings * Fix the mistakes of using EncoderDecoderModel * Fix style * Add FlaxEncoderDecoderModel to the library * Fix cyclic imports * Add FlaxEncoderDecoderModel to modeling_flax_auto.py * Remove question comments * add tests for FlaxEncoderDecoderModel * add flax_encoder_decoder to the lists of ignored entries in check_repo.py * fix missing required positional arguments * Remove **kwargs when creating FlaxEncoderDecoderModel in from_encoder_decoder_pretrained() Also fix generation eos/pad tokens issue * Fix: Use sequences from the generated_output * Change a check from assert to raise ValueError * Fix examples and token ids issues * Fix missing all_cross_attentions when outputting tuple in modeling_gpt2 * Remove the changes in configuration docstrings. * allow for bert 2 gpt2 * make fix-copies * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Change remaining examples to bert2gpt2 * Change the test to Bert2GPT2 * Fix examples * Fix import * Fix unpack bug * Rename to FlaxEncoderDecoderModelTest and change the test to bert2gpt2 * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Fix: NotImplentedError -> NotImplementedError * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * up * finalize Co-authored-by: ydshieh <ydshieh@user.noreply> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Sylvain Gugger
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9870093f7b
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[WIP] Disentangle auto modules from other modeling files (#13023)
* Initial work * All auto models * All tf auto models * All flax auto models * Tokenizers * Add feature extractors * Fix typos * Fix other typo * Use the right config * Remove old mapping names and update logic in AutoTokenizer * Update check_table * Fix copies and check_repo script * Fix last test * Add back name * clean up * Update template * Update template * Forgot a ) * Use alternative to fixup * Fix TF model template * Address review comments * Address review comments * Style |
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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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Patrick von Platen
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a317e6c3be
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[Flax] Correctly Add MT5 (#12988)
* finish PR * finish mt5 * push * up * Update tests/test_modeling_flax_mt5.py Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> |
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Will Rice
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fb65f65ea6
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Add TFHubertModel (#12206)
* TFHubert * Update with TFWav2Vec Bug Fixes * Add OOV Error * Feedback changes * Fix kwargs call |
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Patrick von Platen
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0d1f67e651
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[Flax] Add wav2vec2 (#12271)
* fix_torch_device_generate_test * remove @ * start flax wav2vec2 * save intermediate * forward pass has correct shape * add weight norm * add files * finish ctc * make style * finish gumbel quantizer * correct docstrings * correct some more files * fix vit * finish quality * correct tests * correct docstring * correct tests * start wav2vec2 pretraining script * save intermediate * start pretraining script * finalize pretraining script * finish * finish * small typo * finish * correct * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> * make style * push Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> |
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Sylvain Gugger
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9eda6b52e2
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Add all XxxPreTrainedModel to the main init (#12314)
* Add all XxxPreTrainedModel to the main init * Add to template * Add to template bis * Add FlaxT5 |
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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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Will Rice
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d438eee030
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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> |
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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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Suraj Patil
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ad25fd62bd
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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 |
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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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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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Sylvain Gugger
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2ce0fb84cc
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Make quality scripts work when one backend is missing. (#11573)
* Make quality scripts work when one backend is missing. * Check env variable is properly set * Add default * With print statements * Fix typo * Set env variable * Remove debug code |
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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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Patrick von Platen
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32dbb2d954
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make style (#11442) | ||
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Sylvain Gugger
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3312e96bfb
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Doc check: a bit of clean up (#11224) | ||
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Sylvain Gugger
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ba8b1f4754
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Add support for multiple models for one config in auto classes (#11150)
* Add support for multiple models for one config in auto classes * Use get_values everywhere * Prettier doc |
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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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Sylvain Gugger
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ffe0761777
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Fix and refactor check_repo (#11127) | ||
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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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Ratthachat (Jung)
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696e8a4365
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Add TFRag (#9002)
* Create modeling_tf_dpr.py * Add TFDPR * Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot last commit accidentally deleted these 4 lines, so I recover them back * Add TFDPR * Add TFDPR * clean up some comments, add TF input-style doc string * Add TFDPR * Make return_dict=False as default * Fix return_dict bug (in .from_pretrained) * Add get_input_embeddings() * Create test_modeling_tf_dpr.py The current version is already passed all 27 tests! Please see the test run at : https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing * fix quality * delete init weights * run fix copies * fix repo consis * del config_class, load_tf_weights They shoud be 'pytorch only' * add config_class back after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion * newline after .. note:: * import tf, np (Necessary for ModelIntegrationTest) * slow_test from_pretrained with from_pt=True At the moment we don't have TF weights (since we don't have official official TF model) Previously, I did not run slow test, so I missed this bug * Add simple TFDPRModelIntegrationTest Note that this is just a test that TF and Pytorch gives approx. the same output. However, I could not test with the official DPR repo's output yet * upload correct tf model * remove position_ids as missing keys * create modeling_tf_rag * add tests for tf * add tf tests * revert wrong pt commit * further refactor * further refactor * refactor * Update modeling_tf_rag.py - input_processing - fix prepare_input_for_generation (mostly fix generate bug) - bring back from_pretrained hack in order to test generate * delete colab pieces of code * Show case of greedy "generate" Temporarily change from beam_search test to greedy_search test to show case that TF and PT do get equivalent output. * cosmetic update * correct typos * update * push some progress * make easy check * fix rag save from pretrained * Update src/transformers/modeling_tf_utils.py * remove commented out lines * delete unnecessary lines * add simple test case for nq_checkpoint Add nq_checkpoint test to show that current version without hack still fails * temporarily put ugly hack back again * Add TFRagSequenceForGeneration!! * __init__.py , import TFRagSequenceForGeneration * Add TFRagSequence tests! * rag init.py - add TFRagSequenceForGeneration * fix from_pretrained * fix prepare_inputs_for_generation * Beam search for RagToken! * minor clean up * add tf.cast in TFRagModel * More tf.cast * Add all remaining tests (still have issues) * delete all T5 related * make style * fix load weight prefix * fix bart * fix return_dict for tf_rag make all tests pass .. Hooray * fix some tests * fix code quality * fix qualtiy check * finish tests tf rag * add tf rag to docs * remove TFT5 from docstring Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * remove TFT5 from docstring Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Delete outdated comments Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * improve doc strings * add generative model classes * fix adjust token logic * refactor generate for TFRag * using shape_list, not _get_shape Co-authored-by: Julien Plu <plu.julien@gmail.com> * axis=[1]->axis=1 * delete NEED_HELP comment * improve readability Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * improve readability Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * improve readability Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Indicating model is in a developing state in docstrings As suggested by Julien * small last changes * apply sylvains suggestions * finish tf rag Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: patrickvonplaten <patrick@huggingface.co> Co-authored-by: Julien Plu <plu.julien@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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Patrick von Platen
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cb38ffcc5e
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[PretrainedFeatureExtractor] + Wav2Vec2FeatureExtractor, Wav2Vec2Processor, Wav2Vec2Tokenizer (#10324)
* push to show * small improvement * small improvement * Update src/transformers/feature_extraction_utils.py * Update src/transformers/feature_extraction_utils.py * implement base * add common tests * make all tests pass for wav2vec2 * make padding work & add more tests * finalize feature extractor utils * add call method to feature extraction * finalize feature processor * finish tokenizer * finish general processor design * finish tests * typo * remove bogus file * finish docstring * add docs * finish docs * small fix * correct docs * save intermediate * load changes * apply changes * apply changes to doc * change tests * apply surajs recommend * final changes * Apply suggestions from code review * fix typo * fix import * correct docstring |
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Patrick von Platen
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b972125ced
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Deprecate Wav2Vec2ForMaskedLM and add Wav2Vec2ForCTC (#10089)
* add wav2vec2CTC and deprecate for maskedlm * remove from docs |
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demSd
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00031785a8
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BartForCausalLM analogs to ProphetNetForCausalLM (#9128)
* initiliaze bart4causalLM * create BartDecoderWrapper, setters/getters * delete spaces * forward and additional methods * update cache function, loss function, remove ngram* params in data class. * add bartcausallm, bartdecoder testing * correct bart for causal lm * remove at * add mbart as well * up * fix typo * up * correct * add pegasusforcausallm * add blenderbotforcausallm * add blenderbotsmallforcausallm * add marianforcausallm * add test for MarianForCausalLM * add Pegasus test * add BlenderbotSmall test * add blenderbot test * fix a fail * fix an import fail * a fix * fix * Update modeling_pegasus.py * fix models * fix inputs_embeds setting getter * adapt tests * correct repo utils check * finish test improvement * fix tf models as well * make style * make fix-copies * fix copies * run all tests * last changes * fix all tests Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.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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Sylvain Gugger
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758ed3332b
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Transformers fast import part 2 (#9446)
* Main init work * Add version * Change from absolute to relative imports * Fix imports * One more typo * More typos * Styling * Make quality script pass * Add necessary replace in template * Fix typos * Spaces are ignored in replace for some reason * Forgot one models. * Fixes for import Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr> * Add documentation * Styling Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr> |
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Qbiwan
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ecfcac223c
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Improve documentation coverage for Phobert (#9427)
* first commit * change phobert to phoBERT as per author in overview * v3 and v4 both runs on same code hence there is no need to differentiate them Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Qbiwan
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be898998bb
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Improve documentation coverage for Herbert (#9428)
* first commit * changed XLMTokenizer to HerbertTokenizer in code example |
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Patrick von Platen
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eef66035a2
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[PyTorch Bart] Split Bart into different models (#9343)
* first try * remove old template * finish bart * finish mbart * delete unnecessary line * init pegasus * save intermediate * correct pegasus * finish pegasus * remove cookie cutter leftover * add marian * finish blenderbot * replace in file * correctly split blenderbot * delete "old" folder * correct "add statement" * adapt config for tf comp * correct configs for tf * remove ipdb * fix more stuff * fix mbart * push pegasus fix * fix mbart * more fixes * fix research projects code * finish docs for bart, mbart, and marian * delete unnecessary file * correct attn typo * correct configs * remove pegasus for seq class * correct peg docs * correct peg docs * finish configs * further improve docs * add copied from statements to mbart * fix copied from in mbart * add copy statements to marian * add copied from to marian * add pegasus copied from * finish pegasus * finish copied from * Apply suggestions from code review * make style * backward comp blenderbot * apply lysandres and sylvains suggestions * apply suggestions * push last fixes * fix docs * fix tok tests * fix imports code style * fix doc |
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Patrick von Platen
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189387e9b2
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LED (#9278)
* create model * add integration * save current state * make integration tests pass * add one more test * add explanation to tests * remove from bart * add padding * remove unnecessary test * make all tests pass * re-add cookie cutter tests * finish PyTorch * fix attention test * Update tests/test_modeling_common.py * revert change * remove unused file * add string to doc * save intermediate * make tf integration tests pass * finish tf * fix doc * fix docs again * add led to doctree * add to auto tokenizer * added tips for led * make style * apply jplus statements * correct tf longformer * apply lysandres suggestions * apply sylvains suggestions * Apply suggestions from code review |
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Qbiwan
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086718ac6e
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Improve documentation coverage for Bertweet (#9379)
* bertweet docs coverage * style doc max len 119 * maxlen style rst * run main() from style_doc * changed according to comments |
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Julien Plu
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de29ff9bd2
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Fix open (#9368) | ||
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Patrick von Platen
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d5db6c37d4
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[Seq2Seq Templates] Fix check_repo.py templates file (#9277)
* add enc dec pt model to check repo * fix indent |
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Sylvain Gugger
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1fc7119181
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Fix script that check objects are documented (#9259) | ||
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Patrick von Platen
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9cc9f4122e
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Make ProphetNetModel really compatible with EncoderDecoder (#9033)
* improve * finish * upload model * fix lm head * fix test |