GitLab

* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Initial work

* More or less finished with first draft

* Update src/transformers/modeling_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

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

* Fix randomly initialized weights

* Update src/transformers/modeling_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Rename DeepSpeed folder to temporarily fix the test issue?

* Revert to try if Accelerate fix works

* Use latest Accelerate release

* Quality and fixes

* Style

* Quality

* Add doc

* Test + fix

* More blocks
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Fix torch.jit.script and pickling issues

* Fix get_attr issues

* Fix import in function

* Fix GPT-J and T5 tracing for torch=1.11

* Gate graph surgery on torch version

* Modeling minor changes to enable TorchScripting

* Model serialization / deserialization test

* Remove _assert_is_none users

Callback function `on_train_end` crashed if Comet ML integration was
used but `COMET_MODE` set to `DISABLE`

* add inference example to LayoutLMv2ForQuestionAnswering, passing doctest

* add loss example to LayoutLMv2ForQuestionAnswering, passing doctest

* Add correct doctest for LayoutLMv2ForTokenClassification, passing doctest

* add correct doctest for LayoutLMv2ForSequenceClassification, passing test

* add correct doctest for LayoutLMv2Model, passing test

* make fixup

* fix to address review comments

* make style

* fix doctest line break issue, add to documentaiton_tests.txt, address review comments

* move comment about layoutlmv2 dependencies to the doc page

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

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

* Pin dill for now

* Try this version?

* force install

* Actually use dep in testing

* Try a larger pin

* [Draft] fix transition probs

* up

* up

* up

* make it work

* fix

* finish

* update

* [OPT] Run test only in half precision

* up

* up

* up

* up

* finish

* fix on GPU

* Update tests/models/opt/test_modeling_opt.py

* [BC] Fixing usage of text pairs

The BC is actually preventing users from misusing the pipeline since
users could have been willing to send text pairs and the pipeline would
instead understand the thing as a batch returning bogus results.

The correct usage of text pairs is preserved in this PR even when that
makes the code clunky.

Adds support for {"text":..,, "text_pair": ...} inputs for both dataset
iteration and more explicit usage to pairs.

* Updating the doc.

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

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

* Update tests/pipelines/test_pipelines_text_classification.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* quality.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: Jader Martins <jadermcs94@gmail.com>

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Adding cvt files

* Adding cvt files

* changes in init file

* Adding cvt files

* changes in init file

* Style fixes

* Address comments from code review

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Format lists in docstring

* Fix copies

* Apply suggestion from code review
Co-authored-by: AnugunjNaman <anugunjjha@gmail.com>
Co-authored-by: Ayushman Singh <singhayushman13@protonmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Accepting real pytorch device as arguments.

* is_torch_available.

* fix init

* Apply suggestions from code review

* fix

* finish

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

* added type hints to prophetnet

* reformatted with black

* fix bc black misformatted some parts

* fix imports

* fix imports

* Update src/transformers/models/prophetnet/configuration_prophetnet.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* update OPTIONAL type hint and docstring
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Add trajectory transformer


Fix model init


Fix end of lines for .mdx files

Add trajectory transformer model to toctree

Add forward input docs

Fix docs, remove prints, simplify prediction test

Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update docs, more descriptive comments

Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update readme

Small comment update and add conversion script

Rebase and reformat

Fix copies

Fix rebase, remove duplicates

Fix rebase, remove duplicates

* Remove tapex

* Remove tapex

* Remove tapex

[LED] fix global_attention_mask not being passed for generation and docs clarification about grad checkpointing (#17112)

* [LED] fixed global_attention_mask not passed for generation + docs clarification for gradient checkpointing

* LED docs clarification
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] gradient_checkpointing=True should be passed to TrainingArguments
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] docs: remove wrong word
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] docs fix typo
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add SplinterForSpanSelection for pre-training recurring span selection.

* Formatting.

* Rename SplinterForSpanSelection to SplinterForPreTraining.

* Ensure repo consistency

* Fixup changes

* Address SplinterForPreTraining PR comments

* Incorporate feedback and derive multiple question tokens per example.

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

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Jean Vancoppenole <jean.vancoppenolle@retresco.de>
Co-authored-by: Tobias Günther <tobias.guenther@retresco.de>
Co-authored-by: Tobias Günther <github@tobigue.de>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add initial doctring changes

* make fixup

* Add TF doc changes

* fix seq classifier output

* fix quality errors

* t

* swithc head to random init

* Fix expected outputs

* Update src/transformers/models/longformer/modeling_longformer.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* [Test] Fix W2V-Conformer integration test

* correct w2v2

* up

- Add --ignore_mismatched_sizes argument to classification examples

- Expand the error message when loading a model whose head dimensions are different from expected dimensions

* Initial commit

* Better label renaming

* Remove breakpoint before pushing (this is your job)

* Test a lot more in the Keras fit() test

* make fixup

* Clarify the case where we flatten y dicts into tensors

* Clarify the case where we flatten y dicts into tensors

* Extract label name remapping to a method

* Fix tests of mixed precision now that experimental is deprecated

* Fix mixed precision in training_args_tf.py too

* Fix drop_path_rate

* Fix TF's drop path rate

* save intermediate

* add wav2vec2 conformer

* add more code

* more

* first test passes

* make all checkpoints work

* update

* up

* more clean ups

* save clean-up

* save clean-up

* save more

* remove bogus

* finalize design conformer

* remove vision

* finish all tests

* more changes

* finish code

* add doc tests

* add slow tests

* fix autoconfig test

* up

* correct docstring

* up

* update

* fix

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Update docs/source/en/model_doc/wav2vec2-conformer.mdx

* upload

* save copied from

* correct configs

* fix model outputs

* add to docs

* fix imports

* finish

* finish code

* correct copied from

* correct again

* correct make fix

* improve make fix copies

* save

* correct fix copy from

* correct init structure

* correct

* fix import

* apply suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Automatically sort auto mappings

* Better class extraction

* Some auto class magic

* Adapt test and underlying behavior

* Remove re-used config

* Quality

* Fix edge cases TypeError: 'NoneType' object is not callable

* fix style