- 06 Apr, 2022 14 commits
-
-
Joao Gante authored
* refactor TF beam search * refactored generate can now properly use attention masks * add force bos/eos logit processors
-
Stas Bekman authored
-
Lysandre Debut authored
-
Sylvain Gugger authored
This reverts commit b1a7dfe0.
-
Sylvain Gugger authored
-
Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
Sanchit Gandhi authored
-
Patrick von Platen authored
* [Speech2Text Doc] Fix docs * apply ydshiehs suggestions
-
Stas Bekman authored
-
Yih-Dar authored
* Use CLIP model's config for some fields (if specified) instead of those of vision & text components. Co-authored-by: -
Suraj Patil authored
-
Suraj Patil authored
* fix bart and mbart * add ckpt names as variables * fix mbart * fix plbart * use varibale for ckot name
-
Patrick von Platen authored
-
Jun authored
-
- 05 Apr, 2022 13 commits
-
-
Anmol Joshi authored
* Completed documentation of CTRL * Missing optional None * Added return types * updated imports * Update modeling_ctrl.py
-
Sylvain Gugger authored
-
Steven Liu authored
*
馃摑 add image/vision classification and asr *馃枍 minor formatting fixes * Fixed a typo in legacy seq2seq_trainer.py (#16531) * Add ONNX export for BeiT (#16498) * Add beit onnx conversion support * Updated docs * Added cross reference to ViT ONNX config * call on_train_end when trial is pruned (#16536) * Type hints added (#16529) * Fix Bart type hints (#16297) * Add type hints to PLBart PyTorch * Remove pending merge conflicts * Fix PLBart Type Hints * Add changes from review * Add VisualBert type hints (#16544) * Adding missing type hints for mBART model (PyTorch) (#16429) * added type hints for mbart tensorflow tf implementation * Adding missing type hints for mBART model Tensorflow Implementation model added with missing type hints * Missing Type hints - correction For TF model * Code fixup using make quality tests * Hint types - typo error * make fix-copies and make fixup * type hints * updated files * type hints update * making dependent modesls coherent Co-authored-by:matt <rocketknight1@gmail.com> * Remove MBart subclass of XLMRoberta in tokenzier docs (#16546) * Remove MBart subclass of XLMRoberta in tokenzier * Fix style * Copy docs from MBart50 tokenizer * Use random_attention_mask for TF tests (#16517) * use random_attention_mask for TF tests * Fix for TFCLIP test (for now). Co-authored-by:
Niels Rogge <nielsrogge@nielss-mbp.home> * Pin tokenizers version <0.13 (#16539) * Pin tokenizers version <0.13 * Style * Add code samples for TF speech models (#16494) Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Quality Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
馃枍 apply feedback Co-authored-by:Cathy <815244047@qq.com> Co-authored-by:
Jim Rohrer <jrohrer1@gmail.com> Co-authored-by:
Ferdinand Schlatt <fschlatt@gmail.com> Co-authored-by:
Dahlbomii <101373053+Dahlbomii@users.noreply.github.com> Co-authored-by:
Gunjan Chhablani <chhablani.gunjan@gmail.com> Co-authored-by:
Rishav Chandra Varma <rishavchandra.v16@iiits.in> Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Daniel Stancl <46073029+stancld@users.noreply.github.com> Co-authored-by:
Karim Foda <35491698+KMFODA@users.noreply.github.com> Co-authored-by:
SaulLu <55560583+SaulLu@users.noreply.github.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
Andres Codas <andrescodas@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> Co-authored-by:
Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com> Co-authored-by:
Suraj Patil <surajp815@gmail.com> Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com>
-
Stas Bekman authored
* [benchmark tool] trainer-benchmark.py * improve * massive rework/expansion * fix * mucho improved * improved * fix prefix * fix * fix diff calculation * address suggestions
-
John Giorgi authored
If global_attention_mask is found in the models inputs (used by certain models, like LED) in the prediction_step method of Seq2SeqTrainer, it is added to the gen_kwargs, which are passed to model.decode(). This allows us to properly set the global attention when decoding.
-
Stas Bekman authored
-
Rishav Chandra Varma authored
* added type hints for mbart tensorflow tf implementation * Adding missing type hints for mBART model Tensorflow Implementation model added with missing type hints * Missing Type hints - correction For TF model * Code fixup using make quality tests * Hint types - typo error * make fix-copies and make fixup * type hints * updated files * type hints update * making dependent modesls coherent * Type hints for BigBird * removing typos Co-authored-by: -
Matt authored
* Adding new train_step logic to make things less confusing for users * DO NOT ASK WHY WE NEED THAT SUBCLASS * Metrics now working, at least for single-output models with type annotations! * Updates and TODOs for the new train_step * Make fixup * Temporary test workaround until T5 has types * Temporary test workaround until T5 has types * I think this actually works! Needs a lot of tests though * MAke style/quality * Revert changes to T5 tests * Deleting the aforementioned unmentionable subclass * Deleting the aforementioned unmentionable subclass * Adding a Keras API test * Style fixes * Removing unneeded TODO and comments * Update test_step too * Stop trying to compute metrics with the dummy_loss, patch up test * Make style * make fixup * Docstring cleanup * make fixup * make fixup * Stop expanding 1D input tensors when using dummy loss * Adjust T5 test given the new compile() * make fixup * Skipping test for convnext * Removing old T5-specific Keras test now that we have a common one * make fixup * make fixup * Only skip convnext test on CPU * Update src/transformers/modeling_tf_utils.py Co-authored-by:
-
Patrick von Platen authored
* [Doctests] Correct filenaming * improve quicktour * make style
-
Suraj Patil authored
-
Francesco Saverio Zuppichini authored
-
SaulLu authored
* add a template to add missing tokenization test * add cookiecutter setting * improve doc * Update templates/adding_a_missing_tokenization_test/README.md Co-authored-by:
-
Yih-Dar authored
Co-authored-by:
-
- 04 Apr, 2022 11 commits
-
-
Sylvain Gugger authored
-
Andres Codas authored
* initialize the default rank set on TrainerState * fix style
-
Sanchit Gandhi authored
-
Joao Gante authored
* Add unpack_inputs to remaining models * removed kwargs to `call()` in TF models * fix TF T5 tests
-
SaulLu authored
* add new tests * add comment to overridden tests
-
Karim Foda authored
* fix formatting and remove use_auth * Add use_auth_token to Flax examples
-
Sylvain Gugger authored
* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
-
Sylvain Gugger authored
* Add utility to find model labels * Use it in the Trainer * Update src/transformers/utils/generic.py Co-authored-by:
-
Daniel Stancl authored
-
Nicolas Patry authored
-
Patrick von Platen authored
* [FlaxSpeechEncoderDecoder] Fix dtype bug * more fixes
-
- 01 Apr, 2022 2 commits
-
-
Yih-Dar authored
Co-authored-by: -
Lysandre Debut authored
* Pin tokenizers version <0.13 * Style
-
