* Fix typos and grammar mistakes in docs and examples
* Fix typos in docstrings and comments
* Fix spelling of `tokenizer` in model tests
* Remove erroneous spaces in decorators
* Remove extra spaces in Markdown link texts
* Add modelss
* Add 2 more models
* add models to tocrree
* Add modles
* Update docs/source/ja/model_doc/detr.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/ja/model_doc/deit.md
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* Update docs/source/ja/model_doc/deplot.md
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* fix bugs
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Port core files + ESM (because ESM code is odd)
* Search-replace in modelling code
* Fix up transfo_xl as well
* Fix other core files + tests (still need to add correct import to tests)
* Fix cookiecutter
* make fixup, fix imports in some more core files
* Auto-add imports to tests
* Cleanup, add imports to sagemaker tests
* Use correct exception for importing tf_keras
* Fixes in modeling_tf_utils
* make fixup
* Correct version parsing code
* Ensure the pipeline tests correctly revert to float32 after each test
* Ensure the pipeline tests correctly revert to float32 after each test
* More tf.keras -> keras
* Add dtype cast
* Better imports of tf_keras
* Add a cast for tf.assign, just in case
* Fix callback imports
* upfaste
* Update
* Update docs/source/ja/model_doc/deformable_detr.md
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* Update docs/source/ja/model_doc/data2vec.md
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* Update docs/source/ja/model_doc/cvt.md
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* add suggestions
* Toctree update
* remove git references
* Update docs/source/ja/_toctree.yml
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* Update docs/source/ja/model_doc/decision_transformer.md
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* add sdpa
* wip
* cleaning
* add ref
* yet more cleaning
* and more :)
* wip llama
* working llama
* add output_attentions=True support
* bigcode sdpa support
* fixes
* gpt-bigcode support, require torch>=2.1.1
* add falcon support
* fix conflicts falcon
* style
* fix attention_mask definition
* remove output_attentions from attnmaskconverter
* support whisper without removing any Copied from statement
* fix mbart default to eager renaming
* fix typo in falcon
* fix is_causal in SDPA
* check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained
* add warnings when falling back on the manual implementation
* precise doc
* wip replace _flash_attn_enabled by config.attn_implementation
* fix typo
* add tests
* style
* add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace
* obey to config.attn_implementation if a config is passed in from_pretrained
* fix is_torch_sdpa_available when torch is not installed
* remove dead code
* Update src/transformers/modeling_attn_mask_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/modeling_attn_mask_utils.py
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* Update src/transformers/modeling_attn_mask_utils.py
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* Update src/transformers/modeling_attn_mask_utils.py
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* Update src/transformers/modeling_attn_mask_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/bart/modeling_bart.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* remove duplicate pretraining_tp code
* add dropout in llama
* precise comment on attn_mask
* add fmt: off for _unmask_unattended docstring
* precise num_masks comment
* nuke pretraining_tp in LlamaSDPAAttention following Arthur's suggestion
* cleanup modeling_utils
* backward compatibility
* fix style as requested
* style
* improve documentation
* test pass
* style
* add _unmask_unattended tests
* skip meaningless tests for idefics
* hard_check SDPA requirements when specifically requested
* standardize the use if XXX_ATTENTION_CLASSES
* fix SDPA bug with mem-efficient backend on CUDA when using fp32
* fix test
* rely on SDPA is_causal parameter to handle the causal mask in some cases
* fix FALCON_ATTENTION_CLASSES
* remove _flash_attn_2_enabled occurences
* fix test
* add OPT to the list of supported flash models
* improve test
* properly test on different SDPA backends, on different dtypes & properly handle separately the pad tokens in the test
* remove remaining _flash_attn_2_enabled occurence
* Update src/transformers/modeling_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/modeling_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/modeling_utils.py
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* Update src/transformers/modeling_attn_mask_utils.py
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* Update docs/source/en/perf_infer_gpu_one.md
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* remove use_attn_implementation
* fix docstring & slight bug
* make attn_implementation internal (_attn_implementation)
* typos
* fix tests
* deprecate use_flash_attention_2=True
* fix test
* add back llama that was removed by mistake
* fix tests
* remove _flash_attn_2_enabled occurences bis
* add check & test that passed attn_implementation is valid
* fix falcon torchscript export
* fix device of mask in tests
* add tip about torch.jit.trace and move bt doc below sdpa
* fix parameterized.expand order
* move tests from test_modeling_attn_mask_utils to test_modeling_utils as a relevant test class is already there
* update sdpaattention class with the new cache
* Update src/transformers/configuration_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/bark/modeling_bark.py
* address review comments
* WIP torch.jit.trace fix. left: test both eager & sdpa
* add test for torch.jit.trace for both eager/sdpa
* fix falcon with torch==2.0 that needs to use sdpa
* fix doc
* hopefully last fix
* fix key_value_length that has no default now in mask converter
* is it flacky?
* fix speculative decoding bug
* tests do pass
* fix following #27907
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Add models
* Add more models
* Update docs/source/ja/model_doc/convnextv2.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/ja/model_doc/convbert.md
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* Update docs/source/ja/model_doc/codegen.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update translation errors and author names
* link update
---------
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* Add models
* Add models and update `_toctree.yml`
* Update docs/source/ja/model_doc/chinese_clip.md
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* Update docs/source/ja/model_doc/camembert.md
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* Update docs/source/ja/model_doc/bros.md
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* Update docs/source/ja/model_doc/bros.md
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* Update docs/source/ja/model_doc/blip-2.md
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* Update docs/source/ja/model_doc/camembert.md
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* solve merge conflicts and update paper titles
* Update docs/source/ja/model_doc/bridgetower.md
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* Update docs/source/ja/model_doc/canine.md
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* Update docs/source/ja/model_doc/chinese_clip.md
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* Update the authons name in bros..md
---------
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* Create asr.md
* Create audio_classification.md
* Create document_question_answering.md
* Update document_question_answering.md
* add
* add
* ggg
* gg
* add masked_language_modeling.md
* add monocular_depth estimation
* new
* dd
* add
* add
* cl
* add
* Add Traslation.md
* hgf
* Added docs to Toctree file
* Update docs/source/ja/tasks/asr.md
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* Update docs/source/ja/tasks/asr.md
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* Update docs/source/ja/tasks/image_classification.md
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* Update docs/source/ja/tasks/idefics.md
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* Update docs/source/ja/tasks/image_captioning.md
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* Fix docs and revert changes
* Update docs/source/en/tasks/idefics.md
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* Update docs/source/ja/tasks/language_modeling.md
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* Update docs/source/ja/tasks/language_modeling.md
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* Update docs/source/ja/tasks/language_modeling.md
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* Update docs/source/ja/tasks/prompting.md
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* Update docs/source/ja/tasks/masked_language_modeling.md
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* Update docs/source/ja/tasks/masked_language_modeling.md
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* Update docs/source/ja/tasks/prompting.md
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* Update docs/source/ja/tasks/object_detection.md
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* Update docs/source/ja/tasks/semantic_segmentation.md
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* Update docs/source/ja/tasks/semantic_segmentation.md
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* Update docs/source/ja/tasks/token_classification.md
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* Update docs/source/ja/tasks/translation.md
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* Update docs/source/ja/tasks/visual_question_answering.md
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* Update docs/source/ja/tasks/summarization.md
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* changes in review 1 and 2
* add
* Update docs/source/ja/tasks/asr.md
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* Update docs/source/ja/tasks/translation.md
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* changes
* Update docs/source/ja/_toctree.yml
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* Update docs/source/ja/_toctree.yml
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* Update docs/source/ja/_toctree.yml
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* Update _toctree.yml
---------
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* Add `model_docs`
* Add
* Update Model adoc
* Update docs/source/ja/model_doc/bark.md
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* Update docs/source/ja/model_doc/beit.md
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* Update docs/source/ja/model_doc/bit.md
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* Update docs/source/ja/model_doc/blenderbot.md
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* Update docs/source/ja/model_doc/blenderbot-small.md
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* update reiew-1
* Update toctree.yml
* translating docs and fixes of PR #27401
* Update docs/source/ja/model_doc/bert.md
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* Update docs/source/ja/model_doc/bert-generation.md
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* Update the model docs
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* docs: replace torch.distributed.run by torchrun
`transformers` now officially support pytorch >= 1.10.
The entrypoint `torchrun`` is present from 1.10 onwards.
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>
* Update src/transformers/trainer.py
with @ArthurZucker's suggestion
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
---------
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* add
* add
* add
* Add deepspeed.md
* Add
* add
* Update docs/source/ja/main_classes/callback.md
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* Update docs/source/ja/main_classes/output.md
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* Update docs/source/ja/main_classes/pipelines.md
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* Update docs/source/ja/main_classes/processors.md
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* Update docs/source/ja/main_classes/processors.md
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* Update docs/source/ja/main_classes/text_generation.md
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* Update docs/source/ja/main_classes/processors.md
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* Update logging.md
* Update toctree.yml
* Update docs/source/ja/main_classes/deepspeed.md
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* Add suggesitons
* m
* Update docs/source/ja/main_classes/trainer.md
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* Update toctree.yml
* Update Quantization.md
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* Update toctree.yml
* Update docs/source/en/main_classes/deepspeed.md
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* Update docs/source/en/main_classes/deepspeed.md
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