* fix executable batch size issue

* fix

* undo

fix base workflow name

* Fix expected value in tests of the test fetcher

* Fix trigger for repo util tests

* Let's see if we can use the smallest possible dummies

* Make GPT-2's dummies a little longer

* Just use (1,2) as the default shape

* Update other dummies in sync

* Correct imports for Keras 2.13

* Shrink the Wav2Vec2 dummies

* fix

* fix

---------

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

* fix skip modules test

* oops

* address comments

Fix is_optimum_neuron_available

add `safe_serialization` in push_to_hub

* support PEFT models when saving the model using trainer

* fixup

* Add support for non-rust implemented tokenization for `__getitem__` method.

* Update for error message on adding new sub-branch for `__item__` method.

---------

Co-authored-by: liuyang17 <liuyang17@zhihu.com>

* [Wav2Vec2] Fix torch srcipt

* fix more

increase atol

* Fix model load when it has both code on the Hub and locally

* Add input check with timeout

* Add tests

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Some non-saved stuff

* Add feature extractors

* Add image processor

* Add model

* Add processor and tokenizer

* Reduce timeout

---------

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Fix device placement for model-parallelism in generate for encoder/decoders

* Remove debug statements

fix

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

* Use new parametrization based weight norm if available

See https://github.com/pytorch/pytorch/pull/103001



Signed-off-by: Edward Z. Yang <ezyang@meta.com>

* handle copies

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

* black

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

---------

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

* A fun new PR where I break the entire codebase again

* A fun new PR where I break the entire codebase again

* Handle cross-attention

* Move calls to model(model.dummy_inputs) to the new build() method

* Seeing what fails with the build context thing

* make fix-copies

* Let's see what fails with new build methods

* Fix the pytorch crossload build calls

* Fix the overridden build methods in vision_text_dual_encoder

* Make sure all our build methods set self.built or call super().build(), which also sets it

* make fix-copies

* Remove finished TODO

* Tentatively remove unneeded (?) line

* Transpose b in deberta correctly and remove unused threading local

* Get rid of build_with_dummies and all it stands for

* Rollback some changes to TF-PT crossloading

* Correctly call super().build()

Oops

* Make the default dummies (2, 2) instead of (3, 3)

* Fix for Funnel

* Actually fix Funnel

Act on deprecation

fix

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

* Add test_backbone for convnext

* Add TimmBackbone model

* Add check for backbone type

* Tidying up - config checks

* Update convnextv2

* Tidy up

* Fix indices & clearer comment

* Exceptions for config checks

* Correclty update config for tests

* Safer imports

* Safer safer imports

* Fix where decorators go

* Update import logic and backbone tests

* More import fixes

* Fixup

* Only import all_models if torch available

* Fix kwarg updates in from_pretrained & main rebase

* Tidy up

* Add tests for AutoBackbone

* Tidy up

* Fix import error

* Fix up

* Install nattan in doc_test_job

* Revert back to setting self._out_xxx directly

* Bug fix - out_indices mapping from out_features

* Fix tests

* Dont accept output_loading_info for Timm models

* Set out_xxx and don't remap

* Use smaller checkpoint for test

* Don't remap timm indices - check out_indices based on stage names

* Skip test as it's n/a

* Apply suggestions from code review

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

* Cleaner imports / spelling is hard

---------

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

Prevent ZeroDivisionError if evaluation is too quick

Co-authored-by: Andrey Voynov <avoin@google.com>

* Add check for tied parameters

* Fix style

* fix style

* Fix versioning

* Change if to elif

* docs: ko: `bertology.mdx`

* feat: nmt draft

* fix: manual edits

* fix: resolve suggestions

Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

---------

Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* docs: ko: `language_modeling.mdx`

* feat: nmt draft

* fix: manual edits

* fix: add inline toc

* fix: typo in toc_tree.yml

* fix: resolve suggestions

Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

---------

Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

fix

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

* fix

* fix

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* docs: ko: tasks_explained.mdx

* feat: nmt and manual edit `tasks_explained.mdx`

* revised: resolve suggestions task_explained.mdx

* fixed: added draft of reference docs

Co-Authored-By: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-Authored-By: Nayeon Han <nayeon2.han@gmail.com>

* revised: resolve suggestions(voca, spell check) task_explained.mdx

Co-Authored-By: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* revised: remove duplicate sentence in task_explained.mdx

* fixed: remove draft of reference docs

- I think it will be confusing in the translation process.
- This issue is included in #23971.

---------

Co-authored-by: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-authored-by: Nayeon Han <nayeon2.han@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

tensorboard callback no longer adds hparams

* fix wrong broadcast axis of attention mask in visual encoder

* fix slow tests

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>

expose safe_serialization argument of PreTrainedModel and TFPreTrainedModel in the save_pretrained of the pipeline api

Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>