GitLab

* Fix number of examples for iterable datasets in multiprocessing

* Add stronger check

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

* Clean up utils.hub using the latest from hf_hub

* Adapt test

* Address review comment

* Fix test

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add clarification

* Add another clarification

* Apply suggestion
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

Co-authored-by: Olivier Dehaene <olivier@huggingface.co>

* update

* 🖍 add missing files

* 📝 add nested sections

* 🖍 align titles with tasks

* oops

* remove quotes from titles

* Pin revision for tests

* Fixup

* Update revision in models

* Shorten revisions
Co-authored-by: Ankur Goyal <ankur@impira.com>

* Add Image2TextGenerationPipeline to supported pipelines

* Add Flax and Tensorflow support

* Add Flax and Tensorflow small tests

* Add default model for Tensorflow

* Add docstring

* Fix doc style

* Add tiny models for pytorch and flax

* Remove flax from pipeline.
Fix tests

* Use ydshieh/vit-gpt2-coco-en as a default for both PyTorch and Tensorflow

* Fix Tensorflow support
Co-authored-by: Olivier Dehaene <olivier@huggingface.co>

* Cache results of is_torch_tpu_available()

* Update src/transformers/utils/import_utils.py

* Update src/transformers/utils/import_utils.py

* initial implementation.

* add: working model till image classification.

* add: initial implementation that passes intg tests.
Co-authored-by: Amy <aeroberts4444@gmail.com>

* chore: formatting.

* add: tests (still breaking because of config mismatch).
Coo-authored-by: Yih <2521628+ydshieh@users.noreply.github.com>

* add: corrected tests and remaning changes.

* fix code style and repo consistency.

* address PR comments.

* address Amy's comments.

* chore: remove from_pt argument.

* chore: add full-stop.

* fix: TFLite model conversion in the doc.

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

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

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

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

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

* apply formatting.

* chore: remove comments from the example block.

* remove identation in the example.
Co-authored-by: Amy <aeroberts4444@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* chore(training_args): Adds support for timeout argument.

* fix(training_args): Passes make style through changes.

* fix(training_args): Removes wrong docstring sentence.

* fix(training_args): Fixes timeout not being JSON serializable.

* fix(training_args_sm): Also updates timeout to timeout_delta.

* fix(training_args): Fixes PR according to suggestions.

* reflect max_new_tokens in gen_kwargs to `trainer.generate()`

* reflect max_new_tokens in `Seq2SeqTrainer`

* remove unnecessary variable

* Trigger CI

* fix style

* Pin rouge_score

* Pin also in dependency_versions_table

* Update excluded versions

* Revert "Update excluded versions"

This reverts commit 0d0362df30a816108835f5c061272ee2bafec270.

* Revert "Revert "Update excluded versions""

This reverts commit 66c47af8a6baff253575631b0ba392e0354b6d56.

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

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

* Create pipeline_tutorial.mdx

* Update _toctree.yml

* fix memory leak
* fix typos
* use singular last hidden state variable names
* eliminate double call to self.owlvit to return last hidden states
* eliminate 2nd call to self.vision_model in OwlViTModel

* Add security warning about from_pretrained() method

* Add sentence about malware scanner
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Add ONNX support

* Make height and width dynamic axes
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* fix args for bram search decoding in generation utils

* fix missing PAD token in gpt2

* add PAD EOS change to TF

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

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

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

Add an option to `HfArgumentParser.parse_{dict,json_file}` to raise an Exception when there extra keys (#18692)

* Update parser to track unneeded keys, off by default

* Fix formatting

* Fix docstrings and defaults in HfArgparser

* Fix formatting

* Minor typo in GPT2 doc

* improve gpt2 label doc

* update dim of label in GPT2ForTokenClassification

* add change to tf

* Pin ffspec

* Typo

* Add num_channels attribute

* Fix code quality
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

fix bug: register_for_auto_class should be defined on TFPreTrainedModel instead of TFSequenceSummary (#18607)

* Check optimizer for device on TPU

* Typo

* oob performance improvement for cpu DDP
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add is_psutil_available check
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Fix loss condition in DetrHungarianMatcher

* Fix costs condition in YolosHungarianMatcher

* Add LayoutLMForQuestionAnswering model

* Fix output

* Remove TF TODOs

* Add test cases

* Add docs

* TF implementation

* Fix PT/TF equivalence

* Fix loss

* make fixup

* Fix up documentation code examples

* Fix up documentation examples + test them

* Remove LayoutLMForQuestionAnswering from the auto mapping

* Docstrings

* Add better docstrings

* Undo whitespace changes

* Update tokenizers in comments

* Fixup code and remove `from_pt=True`

* Fix tests

* Revert some unexpected docstring changes

* Fix tests by overriding _prepare_for_class
Co-authored-by: Ankur Goyal <ankur@impira.com>

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

* Improving the documentation for "word", within the pipeline.

* Quality.

* Added Doctest for Deberta Pytorch

* Added path in documentation test file

* Added docstrings for DebertaV2

* Revert "Added docstrings for DebertaV2"

This reverts commit 307185e62a21b3bd0923444cc8a8af1747fd2600.

* Added DebertaV2 Docstrings