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Co-authored-by: Lysandre Debut <hi@lysand.re>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

* Fix broken link

* Trigger CI
Co-authored-by: Stas Bekman <stas@stason.org>

* Fix incomplete FlaxBert outputs

* fix big_bird electra roberta

[Wav2vec2 + LM Test] Improve wav2vec2 with lm tests and make torch version dependent for now (#18749)

* add first generation tutorial

* remove generation

* make version dependent expected values

* Apply suggestions from code review

* Update tests/models/wav2vec2_with_lm/test_processor_wav2vec2_with_lm.py

* fix typo

* add first generation tutorial

* VisionEnocderDecoder gradient checkpointing

* remove generation

* add tests

* Automatic detection for framework to use when exporting to ONNX

* Log message change

* Incorporating PR comments, adding unit test

* Adding tf for pip install for run_tests_onnxruntime CI

* Restoring past changes to circleci yaml and test_onnx_v2.py, tests moved to tests/onnx/test_features.py

* Fixup

* Adding test to fetcher

* Updating circleci config to log more

* Changing test class name

* Comment typo fix in tests/onnx/test_features.py
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Moving torch_str/tf_str to self.framework_pt/tf

* Remove -rA flag in circleci config
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Implement ONNX support for Longformer

Fix repo consistency check complaints

Fix value mismatches

Add pooler output for default model

Increase validation atol to accommodate multiple-choice error

Fix copies

Fix chunking for longer sequence lengths

Add future comment

* Fix issue in mask_invalid_locations

* Remove torch imports in configuration_longformer

* Change config access to fix LED

* Push opset version to support tril

* Work in review comments (mostly style)

* Add Longformer to ONNX tests

* fixed incorrect param to hasattr

* simplified condition checks

* code cleanup

add warning to let the user know that the `__call__` method is faster than `encode` + `pad` for a fast tokenizer (#18693)

* add warning to let the user know that the  method is slower that  for a fast tokenizer

* user warnings

* fix layoutlmv2

* fix layout*

* change warnings into logger.warning

* fixed docstring typos

* Added missing colon
Co-authored-by: 김주영 <juyoung@zezedu.com>

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.3.0 to 6.5.1.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.3.0...6.5.1

)

---
updated-dependencies:
- dependency-name: nbconvert
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.3.0 to 6.5.1.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.3.0...6.5.1

)

---
updated-dependencies:
- dependency-name: nbconvert
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Add TFXGLM models 

* Add todo: self.supports_xla_generation = False
Co-authored-by: Daniel Stancl <stancld@Daniels-MacBook-Pro.local>
Co-authored-by: Daniel Stancl <stancld@daniels-mbp.home>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Daniel <daniel.stancl@rossum.ai>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* Add minor doc-string change to include hp_name

* fix: missing type-information for kwargs

* fix: missing white-space in hyperparameter_search doc-strings

* improve add_tokens documentation

* format

and friends.

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

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

* add first generation tutorial

* [Circle CI] Temporary fix for broken detectron2 import

* remove generation

* `model.tie_weights()` should be applied after `accelerator.prepare`

Weight tying should be done after the model has been moved to XLA device as mentioned on PyTorch/XLA Troubleshooting guide [here](https://github.com/pytorch/xla/blob/master/TROUBLESHOOTING.md#xla-tensor-quirks)

* format code

* add examples subfolder

* mention examples in codeparrot readme

* use Trainer optimizer and scheduler type and add output_dir as argument

* add example of text-to-python and python-to-text models

* mention the downstream examples in the readme

* fix typo

* fix bnb documentation

- move bnb documentation to `infer_gpu_many`

* small refactoring

- added text on infer_gpu_one
- added a small note on infer_gpu_many
- added customized multi gpu example on infer_gpu_many

* Update docs/source/en/perf_infer_gpu_many.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

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

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

* Fix quantization

* Save model

* Remove unused comments

* Fix formatting

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