GitLab

* fix_torch_device_generate_test

* remove @

* start adding tests

* correct wav2vec2 pretraining

* up

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Don't test LED on torchscript

* Typo

* Add README_zh-tw.md

* Add links to each README.

* Fix a mismatched term.

* Minor improvements.

* Rename language code to be more inclusive.

* Polish terms to make them fluent.

* Remove redundant spaces.

* Fix typo.

* fix_torch_device_generate_test

* remove @

* push

* fix marian

* fix

* up

* [trainer] release tmp memory in checkpoint load

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* split the test into 4 sub-tests to avoid timeout

* fix decorator order

* update scripts

* add copyright

* add logging

* cleanup

* add z loss

* add readme

* shard description

* update readme

* Deprecate TFTrainer

* Style pass

* Base test

* More test

* Fix mistake

* Add a docstring change

* Add doc ignore

* Add changes

* Add recursive dep search

* Add recursive dep search

* save

* Finalize test mapping

* Fix bug

* Print prettier

* Ignore comments and empty lines

* Make script runnable from anywhere

* Need dev install

* Like that

* Adapt

* Add as artifact

* Try on torch tests

* Fix yaml error

* Install GitPython

* Apply everywhere

* Be more defensive

* Revert to all tests if something is wrong

* Install GitPython

* Test if there are tests before launching.

* Fixes

* Fixes

* Fixes

* Fixes

* Bash syntax is horrible

* Be less stupid

* Try differently

* Typo

* Typo

* Typo

* Style

* Better name

* Escape quotes

* Ignore black unhelpful re-formatting

* Not a docstring

* Deal with inits in dependency map

* Run all tests once PR is merged.

* Add last job

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Stronger dependencies gather

* Ignore empty lines too!

* Clean up

* Fix quality
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update Transformers README, rename token_classification example to token-classification to be consistent with the others

* Update examples/tensorflow/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add README for TF token classification

* Update examples/tensorflow/token-classification/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update examples/tensorflow/token-classification/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* We need to provide mask_time_indices to `_mask_hidden_states` to avoid applying the mask two times

* apply the same to wav2vec2

* Uniformize the style between hubert and wav2vec2

* fix tf as well
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Global 60-300 seconds timeout

* Add verbose option

* [skip ci] typo

* zero_to_fp32 tests

* args change

* remove unnecessary work

* use transformers.trainer_utils.get_last_checkpoint

* document the new features

* cleanup

* wip

* fix fsmt

* add bert

* cleanup

* add xlm-roberta

* electra works

* cleanup

* sync

* split off the model zoo tests

* cleanup

* cleanup

* cleanup

* cleanup

* reformat

* cleanup

* casing

* deepspeed>=0.4.3

* adjust distilbert

* Update docs/source/main_classes/deepspeed.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Adding TF translation example

* Fixes and style pass for TF translation example

* Remove unused postprocess_text copied from run_summarization

* Adding README

* Review fixes

* Move changes to model.config to after we've initialized the model

* fix_torch_device_generate_test

* remove @

* correct greedy search

* save intertmed

* add final logits bias

* correct

* up

* add more tests

* fix another bug

* finish tests

* finish marian tests

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* change deprecation to be easily actionable

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* rework as suggested

* one warning together

* fix format
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add option to load a pretrained model with mismatched shapes

* Fail at loading when mismatched shapes in Flax

* Fix tests

* Update src/transformers/modeling_flax_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Address review comments
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix_torch_device_generate_test

* remove @

* fix docs

* Wrong model is used, should be character instead of subword

In the original Google repo for CANINE there was mixup in the model names in the README.md, which was fixed 2 weeks ago. Since this transformer model was created before, it probably resulted in wrong use in this example.

s = subword, c = character

* canine.rst style fix

* Update docs/source/model_doc/canine.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Styling canine.rst

* Added links to model cards.

* Fixed links to model cards.
Co-authored-by: Jeroen Steggink <978411+jsteggink@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Allow ByT5 type in Flax T5 script

* use T5TokenizerFast

* change up tokenizer config

* model_args

* reorder imports

* Update run_t5_mlm_flax.py

* **encode_plus() shouldn't run for  W2V2CTC

* Typo