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* ✨ update audio examples with minds dataset

* 🖍 make style

* 🖍 minor fixes for doctests

* [Trainer] tf32 arg doc

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

* Fixed some bugs involving saving during epochs
* Added tests mimicking the existing examples tests
* Added in json exporting to all `no_trainer` examples for consistency 

* fix QA sample

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

The defalut value of `padding` in `DataCollatorWithPadding` is `True`, not `False`.

* add vit tf doctest with @add_code_sample_docstrings

* add labels string back in
Co-authored-by: Johannes Kolbe <johannes.kolbe@tech.better.team>

* Add TapexTokenizer

* Improve docstrings and provide option to provide answer

* Remove option for pretokenized inputs

* Add TAPEX to README

* Fix copies

* Remove option for pretokenized inputs

* Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification.

* - Draft a README file for running the script and introducing some background.
- Remove unused code lines in tabfact script.
- Disable the deafult `pad_to_max_length` option which is memory-consuming.

* * Support `as_target_tokenizer` function for TapexTokenizer.
* Fix the do_lower_case behaviour of TapexTokenizer.
* Add unit tests for target scenarios and cased/uncased scenarios for both source and target.

* * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function.
* Fix typos in tapex example README.

* * fix the evaluation script - remove the property `task_name`

* * Make the label space more clear for tabfact tasks

* * Using a new fine-tuning script for tapex-base on tabfact.

* * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case
* Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql

* * Remove the default tokenizer_name option.
* Provide evaluation command.

* * Support for WikiTableQuestion dataset.

* Fix a typo in README.

* * Fix the datasets's key name in WikiTableQuestions

* Run make fixup and move test to folder

* Fix quality

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review

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

* Apply some more suggestions from code review

* Improve docstrings

* Overwrite failing test

* Improve comment in example scripts

* Fix rebase

* Add TAPEX to Auto mapping

* Add TAPEX to auto config mappings

* Put TAPEX higher than BART in auto mapping

* Add TAPEX to doc tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: SivilTaram <qianlxc@outlook.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* base model done

* make style

* done

* added files

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

* Trigger doc build

* resolved conversations

* resolved conversations

* seer models

* minor changes

* minor changes

* make fixup

* glob variables

* minor changes

* fix copies

* config when possibile

* resolved conflicts

* resolved conflicts

* resolved conflicts

* CI

* conversion script for 10b param

* fixed for 10b model

* minor updates in the doc + make style

* removed unused code

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* removed unused code

* removed unused code

* updated modeling_utils from main
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* Update README.md Support Image

Updates the Support image linking to our EAP page (to give it a refresh + help avoid image fatigue).

Slack thread checking in with #open-source-internal on this update (https://huggingface.slack.com/archives/C021H1P1HKR/p1648838903316709)

* Compressed Updated Support image

* Improves Support Image Logo + Height

Updated the image based on logo + size feedback. Big thanks to Bibi for making quick edits to this image.

* Updated _load_pretrained_model_low_mem to check if keys are in the stored state_dict

* update after conversions

* Add inputs vector to calculate metric method

* Include inputs for evaluation metrics with backwards compatibility

* Prevent inputs create OOM issue and documentation details

* Update style and code documentation

* Fix style formatting issues

* Update files format with make style

* Fix doc

* Make fixup
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>

Adds logging and save/loading to the Accelerate scripts
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update modeling_mpnet.py

* Update modeling_ctrl.py

* formatting

* Formatting

* Formatting

* annotated FSMT

* Added annotations for LED

* Added Annotations for M2M

* Added annotations for nystromformer

* Added annotations for OpenAI

* Added annotations for RAG

* Removed unused imports

* fix isort errors

* Removed inputs_embeds docstring, corrected original

* flake8 fixes

* doc-builder fixes

* refactor TF beam search

* refactored generate can now properly use attention masks

* add force bos/eos logit processors

This reverts commit b1a7dfe0.

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

* [Speech2Text Doc] Fix docs

* apply ydshiehs suggestions

* Use CLIP model's config for some fields (if specified) instead of those of vision & text components.
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix bart and mbart

* add ckpt names as variables

* fix mbart

* fix plbart

* use varibale for ckot name

* Completed documentation of CTRL

* Missing optional None

* Added return types

* updated imports

* Update modeling_ctrl.py

* 📝 add image/vision classification and asr

* 🖍

 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: ydshieh <ydshieh@users.noreply.github.com>

* Improve code example (#16450)
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: ydshieh <ydshieh@users.noreply.github.com>

* [FlaxSpeechEncoderDecoder] Fix dtype bug (#16581)

* [FlaxSpeechEncoderDecoder] Fix dtype bug

* more fixes

* Making the impossible to connect error actually report the right URL. (#16446)

* Fix flax import in __init__.py: modeling_xglm -> modeling_flax_xglm (#16556)

* Add utility to find model labels (#16526)

* Add utility to find model labels

* Use it in the Trainer

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

* Quality
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Enable doc in Spanish (#16518)

* Reorganize doc for multilingual support

* Fix style

* Style

* Toc trees

* Adapt templates

* Add use_auth to load_datasets for private datasets to PT and TF examples (#16521)

* fix formatting and remove use_auth

* Add use_auth_token to Flax examples

* add a test checking the format of `convert_tokens_to_string`'s output (#16540)

* add new tests

* add comment to overridden tests

* TF: Finalize `unpack_inputs`-related changes (#16499)

* Add unpack_inputs to remaining models

* removed kwargs to `call()` in TF models

* fix TF T5 tests

* [SpeechEncoderDecoderModel] Correct Encoder Last Hidden State Output (#16586)

* initialize the default rank set on TrainerState (#16530)

* initialize the default rank set on TrainerState

* fix style

* Trigger doc build

* Fix CI: test_inference_for_pretraining in ViTMAEModelTest (#16591)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add a template to add missing tokenization test (#16553)

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

* made _load_pretrained_model_low_mem static + bug fix (#16548)

* handle torch_dtype in low cpu mem usage (#16580)

* [Doctests] Correct filenaming (#16599)

* [Doctests] Correct filenaming

* improve quicktour

* make style

* Adding new train_step logic to make things less confusing for users (#15994)

* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Avoiding TF import issues

* make fixup

* Update compile() to support TF 2.3

* Skipping model.fit() on template classes for now

* Skipping model.fit() on template class tests for now

* Replace ad-hoc solution with find_labels

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

* Adding missing type hints for BigBird model   (#16555)

* 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 <rocketknight1@gmail.com>

* [deepspeed] fix typo, adjust config name (#16597)

* 🖍

 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: matt <rocketknight1@gmail.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
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Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
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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>

* [benchmark tool] trainer-benchmark.py

* improve

* massive rework/expansion

* fix

* mucho improved

* improved

* fix prefix

* fix

* fix diff calculation

* address suggestions

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.