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Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.48.2 to 4.66.3.
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Bump tqdm in /examples/research_projects/visual_bert

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.48.2 to 4.66.3.
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Bump tqdm in /examples/research_projects/decision_transformer

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.63.0 to 4.66.3.
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Bump werkzeug in /examples/research_projects/decision_transformer

Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.0.1 to 3.0.3.
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Bump jinja2 in /examples/research_projects/decision_transformer

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4.
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* Fix memory leak with CTC training script on Chinese languages

* Fix lint

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
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Bump pillow in /examples/research_projects/decision_transformer

Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.1 to 10.2.0.
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Bump torch from 1.9.0+cpu to 1.13.1 in /examples/research_projects/jax-projects/hybrid_clip (#21167)

Bump torch in /examples/research_projects/jax-projects/hybrid_clip

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
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Bump torch in /examples/research_projects/decision_transformer

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
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Bump torch in /examples/research_projects/visual_bert

Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
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Bump torch in /examples/research_projects/codeparrot

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1.
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Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1.
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Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
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Bump pyarrow in /examples/research_projects/visual_bert

Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0.
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Bump pyarrow in /examples/research_projects/decision_transformer

Bumps [pyarrow](https://github.com/apache/arrow) from 7.0.0 to 15.0.0.
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Bump gitpython in /examples/research_projects/distillation

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
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Bump grpcio in /examples/research_projects/decision_transformer

Bumps [grpcio](https://github.com/grpc/grpc) from 1.44.0 to 1.53.2.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Changelog](https://github.com/grpc/grpc/blob/master/doc/grpc_release_schedule.md)
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Bump gitpython in /examples/research_projects/decision_transformer

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
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Fix --model_type in examples

* Handle cases when CLS token is absent

* Use BOS token as a fallback

* fix seq2seq data collator to respect the given padding strategy

further added tests for the seq2seq data collator in the style of the `data_collator_for_token_classification` (pt, tf, np)

* formatting and change bool equals "==" to "is"

* add missed return types in tests

* update numpy test as it can handle unequal shapes, not like pt or tf

* [examples] update whisper fine-tuning

* deprecate forced/suppress tokens

* item assignment

* update readme

* final fix

update most of decision transformers research project

* Alias

* Note alias

* Tests and src

* Rest

* Clean

* Change typing?

* Fix tests

* Deprecation versions

* [DO NOT MERGE] Testing tokenizers 0.19.0rc0

* Accounting for the breaking change.

* Ruff.

* Upgrading to tokenizers `0.19` (new release with preprend_scheme fixed
and new surface for BPE tiktoken bug).

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

typing.Text is deprecated. Use str instead

* Remove unused augmentation

* Fix pad_if_smaller() and remove unused augmentation

* Add indentation

* Fix requirements

* Update dataset use instructions

* Replace transforms with albumentations

* Replace identity transform with None

* Fixing formatting

* Fixed comment place

* Undo

* Use tokenizer

* Undo data collator

updated examples/pytorch/language-modeling scripts and requirements.txt to require datasets>=2.14.0 (#30120)

updated requirements.txt and require_version() calls in examples/pytorch/language-modeling to require datasets>=2.14.0

* Add image processor to trainer

* Replace tokenizer=image_processor everywhere

* improve: error message for best model metric

* update: raise warning instead of error

* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

* Update src/transformers/models/deprecated/_archive_maps.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/deprecated/_archive_maps.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

feat: add support for torch_dtype
Co-authored-by: Jacky Lee <jackylee328@gmail.com>