* docs: feat: model resources for llama2
Co-authored-by: Woojun Jung <hello_984@naver.com>
* fix: add description for dpo and rearrange posts
* docs: feat: add llama2 notebook resources
* style: one liners for each resource
Co-Authored-By: Woojun Jung <46880056+jungnerd@users.noreply.github.com>
Co-Authored-By: Kihoon Son <75935546+kihoon71@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Fix typo
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Woojun Jung <hello_984@naver.com>
Co-authored-by: Woojun Jung <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Adds `TRANSFORMERS_TEST_BACKEND`
Allows specifying arbitrary additional import following first `import torch`.
This is useful for some custom backends, that will require additional imports to trigger backend registration with upstream torch.
See https://github.com/pytorch/benchmark/pull/1805 for a similar change in `torchbench`.
* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* Adds real backend example to documentation
---------
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* init commit
* config updated also some modeling
* Processor and Model config combined
* extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested
* model loading successful!
* feature extractor done!
* FE can now be called from HF
* postprocessing added in fe file
* same as prev commit
* Pop2PianoConfig doc done
* cfg docs slightly changed
* fe docs done
* batched
* batched working!
* temp
* v1
* checking
* trying to go with generate
* with generate and model tests passed
* before rebasing
* .
* tests done docs done remaining others & nits
* nits
* LogMelSpectogram shifted to FeatureExtractor
* is_tf rmeoved from pop2piano/init
* import solved
* tokenization tests added
* minor fixed regarding modeling_pop2piano
* tokenizer changed to only return midi_object and other changes
* Updated paper abstract(Camera-ready version) (#2)
* more comments and nits
* ruff changes
* code quality fix
* sg comments
* t5 change added and rebased
* comments except batching
* batching done
* comments
* small doc fix
* example removed from modeling
* ckpt
* forward it compatible with fe and generation done
* comments
* comments
* code-quality fix(maybe)
* ckpts changed
* doc file changed from mdx to md
* test fixes
* tokenizer test fix
* changes
* nits done main changes remaining
* code modified
* Pop2PianoProcessor added with tests
* other comments
* added Pop2PianoProcessor to dummy_objects
* added require_onnx to modeling file
* changes
* update .md file
* remove extra line in index.md
* back to the main index
* added pop2piano to index
* Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too
* changes
* added return types to 2 tokenizer methods
* the PR build test might work now
* added backends
* PR build fix
* vocab added
* comments
* refactored vocab into 1 file
* added conversion script
* comments
* essentia version changed in .md
* comments
* more tokenizer tests added
* minor fix
* tests extended for outputs acc check
* small fix
---------
Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr>
* a draft version
* v2 integration
* fix
* make it more generic and works for IA3
* add set adapter and multiple adapters support
* fixup
* adapt a bit
* oops
* oops
* oops
* adapt more
* fix
* add more refactor
* now works with model class
* change it to instance method as it causes issues with `jit`.
* add CR
* change method name
* add `add_adapter` method
* clean up
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add moe utils
* fixup
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* adapt
* oops
* fixup
* add is_peft_available
* remove `requires_backend`
* trainer compatibility
* fixup + docstring
* more details
* trigger CI
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/modeling_utils.py
* fixup + is_main_process
* added `save_peft_format` in save_pretrained
* up
* fix nits here and there
* nits here and there.
* docs
* revert `encoding="utf-8"`
* comment
* added slow tests before the PEFT release.
* fixup and nits
* let's be on the safe zone
* added more comments
* v1 docs
* add remaining docs
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* move to `lib_integrations`
* fixup
* this time fixup
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* address final comments
* refactor to use `token`
* add PEFT to DockerFile for slow tests.
* added pipeline support.
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* added more details about flash attention
* correct and add more details
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* few modifs
* more details
* up
* Apply suggestions from code review
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* adapt from suggestion
* Apply suggestions from code review
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* trigger CI
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fix nits and copies
* add new section
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
* Suggestions on Pipeline_webserver
docs: reorder the warning tip for pseudo-code
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/ko/pipeline_webserver.md
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
---------
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* add AutoModelForTextToSpeech class
* add TTS pipeline and tessting
* add docstrings to text_to_speech pipeline
* fix torch dependency
* corrector 'processor is None' case in Pipeline
* correct repo id
* modify text-to-speech -> text-to-audio
* remove processor
* rename text_to_speech pipelines files to text_audio
* add textToWaveform and textToSpectrogram instead of textToAudio classes
* update TTS pipeline to the bare minimum
* update tests TTS pipeline
* make style and erase useless import torch in TTS pipeline tests
* modify how to check if generate or forward in TTS pipeline
* remove unnecessary extra new lines
* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* refactor input_texts -> text_inputs
* correct docstrings of TTS.__call__
* correct the shape of generated waveform
* take care of Bark tokenizer special case
* correct run_pipeline_test TTS
* make style
* update TTS docstrings
* address Sylvain nit refactors
* make style
* refactor into one liners
* correct squeeze
* correct way to test if forward or generate
* Update output audio waveform shape
* make style
* correct import
* modify how the TTS pipeline test if a model can generate
* align shape output of TTS pipeline with consistent shape
---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Adds `TRANSFORMERS_TEST_DEVICE`
Mirrors the same API in the diffusers library. Useful in transformers
too.
* replace backend checking with trying `torch.device`
* Adds better error message for unknown test devices
* `make style`
* adds documentation showing `TRANSFORMERS_TEST_DEVICE` usage.
* added benchmarks for compile
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* added more models
* added more models fr
* added visualizations
* minor fix
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Added links to models and put charts side by side
* Added batch comparisons
* Added more comparisons
* Fix table
* Added link to wheel
* Update perf_torch_compile.md
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* clearer explanation on how things works under the hood.
* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/main_classes/quantization.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add `load_in_4bit` in `from_pretrained`
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Initial addition of t5forsequenceclassification
* Adding imports and adding tests
* Formatting
* Running make fix-copies
* Adding mt5forseq
* Formatting
* run make fix-copies
* Adding to docs
* Add model_parallel
* Fix bug
* Fix
* Remove TODO
* Fixing tests for T5ForSequenceClassification
* Undo changes to dependency_versions_table.py
* Change classification head to work with T5Config directly
* Change seq length to let tests pass
* PR comments for formatting
* Formatting
* Initial addition of UMT5ForSequenceClassification
* Adding to inits and formatting
* run make fix-copies
* Add doc for UMT5ForSeqClass
* Update UMT5 config
* Fix docs
* Skip torch fx test for SequenceClassification
* Formatting
* Add skip to UMT5 tests as well
* Fix umt5 tests
* Running make fix-copies
* PR comments
* Fix for change to sentence_representation
* Rename seq_len to hidden_size since that's what it is
* Use base_model to follow format of the rest of the library
* Update docs
* Extract the decoder_input_ids changes and make one liner
* Make one-liner
