- 26 Apr, 2023 9 commits
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Sylvain Gugger authored
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Arthur authored
* update template processing for llama fast to add eos * style * update * adress training from new issue * fix * update * special tokens can be given even if not used
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Younes Belkada authored
* add hack fx * continue hacking * final changes * Test * Add a keys method * Fix keys method * revert unneeded changes * small nit --------- Co-authored-by:Michael Benayoun <mickbenayoun@gmail.com>
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Younes Belkada authored
* multiple fixes - add `add_special_tokens` to `True` by default - remove label smoothing and labels masking * fix test
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Javier de la Rosa authored
* Add gradient checkpointing to Whisper Flax * self.gradient_checkpointing only needed in nn.Module, removing unnecessary comments
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Ritik Nandwal authored
* Add initial changes for TF wav2vec2 for sequence classification * Add suggested changes * Add serving and serving output methods * Add serving_output implementation and fix layer_weights * Add fixes * Fixed test cases * Fixing test and adding suggested changes
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Hyeonseo Yun authored
* docs: ko: init: token_classification.mdx * docs: ko: trans: tasks/token_classification.mdx * docs: ko: revise: apply suggestions tasks/token_classification.mdx right vocabulary, spell check, natural expression Co-authored-by:
Sohyun Sim <96299403+sim-so@users.noreply.github.com> * docs: ko: revise: `Hub` to `項堧笇` in tasks/token_classification.mdx * docs: ko: revise: `example` in tasks/token_classification.mdx Co-Authored-By:
Gabriel Yang <gabrielwithhappy@gmail.com> Co-Authored-By:
Kihoon Son <75935546+KIHOON71@users.noreply.github.com> Co-Authored-By:
Nayeon Han <nayeon2.han@gmail.com> Co-Authored-By:
Wonhyeong Seo <wonhseo@kakao.com> Co-Authored-By:
Jungnerd <46880056+jungnerd@users.noreply.github.com> * docs: ko: revise: ko expression in tasks/token_classification.mdx Co-Authored-By:
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Sohyun Sim authored
docs: ko: tasks/image_captioning.mdx Co-authored-by:
Hyeonseo Yun <0525_hhgus@naver.com> Co-authored-by:
Hyeonseo Yun <0525yhs@gmail.com>
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- 25 Apr, 2023 9 commits
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Daniel Levenson authored
MegaConfiig -> MegaConfig
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Wonhyeong Seo authored
docs: ko: serialization.mdx Co-authored-by:
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Younes Belkada authored
fix pipeline issue
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Lingepumpe authored
* Avoid invalid escape sequences, use raw strings * Integrate PR feedback
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Jari Van Melckebeke authored
fixed typo in code example fixed a really small typo in the docs of single gpu inference
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AleksanderWWW authored
* [neptune] fix checkpoint bug with relative out_dir * update imports * reformat with black * check neptune without imports * fix typing-related issue * run black on code * use os.path.sep instead of raw \ * simplify imports and remove type annotation * make ruff happy * apply review suggestions * replace run with with_id kwarg to run * update imports to avoid deprecation warnings for the latest client --------- Co-authored-by:kshitij12345 <kshitijkalambarkar@gmail.com>
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Younes Belkada authored
* add sam doc * fixes * multiple fixes
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Nayeon Han authored
fix: docs: missing newline before code block
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Yih-Dar authored
* Fix job link * fix artifact name logic --------- Co-authored-by:
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- 24 Apr, 2023 19 commits
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Yih-Dar authored
fix Co-authored-by: -
Joao Gante authored
* temperature controls speed
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Gabriel Yang authored
docs: ko: translates create_a_model.mdx Co-authored-by:
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amyeroberts authored
* Update feature selection * Check compatibility with datasets version * Checkout from datasets main
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Matt authored
* Fix TF example in quicktour * Fix model.fit() and the dataset section too
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othertea authored
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Nicolas Patry authored
* Fixed the revert by making sure that even the regexp can cover all duplicates. * Code simplification using hash. * Fixing the `ident`. * Fixing ignoring patterened duplicate names. * Using `accelerate@find_tied_parameters` for from_pretrained This is more correct there, since it handles meta device seemlessly and we don't need to handle "non-duplicate" tensors (slices of each other). * Protecting accelerate. * Update src/transformers/modeling_utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> --------- Co-authored-by:
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Nayeon Han authored
docs: ko: `run_scripts` to Korean Co-authored-by:
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Lucain authored
* Test hf_hub 0.14.0rc1 * fix mocked tests * package version --------- Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> Co-authored-by:
testbot <lucainp@hf.co>
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hanrui1sensetime authored
fix transformers keys
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Connor Boyle authored
* Raise error if `stride` is too high * Clarify use of `stride`
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Yih-Dar authored
* fix --------- Co-authored-by: -
fxmarty authored
Add an attribute to disable custom kernels in deformable detr in order to make the model ONNX exportable (#22918) * add disable kernel option * add comment * fix copies * add disable_custom_kernels to config * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
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Sohyun Sim authored
docs: ko: tasks/summarization.mdx Co-authored-by:
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Nayeon Han authored
docs: ko: `tasks/masked_language_modeling.mdx` to Korean Co-authored-by:
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Yih-Dar authored
* run_check_tiny_models * update summary * update mixin * update pipeline_model_mapping * update pipeline_model_mapping * Update for gpt_bigcode --------- Co-authored-by: -
Joao Gante authored
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Arthur authored
clap nits
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Hyeonseo Yun authored
* docs: ko: init: accelerate.mdx * docs: ko: translated: accelerate.mdx * docs: ko: revised: natural expression accelerate.mdx Co-Authored-By:
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- 23 Apr, 2023 1 commit
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NielsRogge authored
Adds FocalNet by Microsoft to transformers --------- Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
alaradirik <alaradirik@gmail.com>
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- 22 Apr, 2023 1 commit
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SUSHMANTH REDDY authored
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- 21 Apr, 2023 1 commit
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hamid mohammadi authored
Feature to convert videomae huge and small finetuned on kinetics and ssv2 added to the videomae to pytorch converter (#22788) * Feature to convert videomae huge finetuned kinetics and videomae small finetuned kinetics and ssv2 added to videomae to pytorch converter * Reformat convert_videomae_to_pytorch using black * Value exception added for the possible videomae model architectures
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