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* Add center crop to transforms library

* Return PIL images if PIL image input by default

* Fixup and add docstring

* Trigger CI

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

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

* PR comments - move comments; unindent
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Change the import order of the model and configuration classes

* Add (with random weights) in the comment before model initialization

* Add configuration_wavlm to doctest

* Fix issue #19300

* Fixing import order

* Fix issue #19300

* Fix formatting issues

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

* Refactor method

* Refactor method

* Fix the issue of sending wrong output dir

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

Adding the state-of-the-art contrastive search decoding methods for the codebase of generation_utils.py (#19477)

* add: the contrastive search for generaton_utils

* add: testing scripts for contrastive search under examples/text-generation

* update the quality of codes

* revise the docstring; make the generation_contrastive_search.py scripts;

* revise the examples/pytorch/text-generation/run_generation_contrastive_search.py to the auto-APIs format

* revise the necessary documents

* fix: revise the docstring of generation_contrastive_search.py

* Fix the code indentation

* fix: revise the nits and examples in contrastive_search docstring.

* fix the copyright

* delete generation_contrastive_search.py

* revise the logic in contrastive_search

* update the intergration test and the docstring

* run the tests over

* add the slow decorate to the contrastive_search intergrate test

* add more test

* do the style, quality, consistency checks

* CLIP Config for doctest

* add doc example to CLIPConfig

* add from_text_vision_configs example

* added comment explaining objective

* update the contribution guide

* apply review feedback

* fix checkboxes

* checkbox fix #2

* clarify force push

* Create repo utils test job

* Last occurence

* Add tests for tests_fetcher

* Better filtering

* Let's learn more

* Should fix

* Should fix

* Remove debug

* Style

* WiP

WiP

WiP

WiP

WiP

WiP

WiP

WiP

WiP

* Quality

* address review comments

* Fix link

* Clean up deprecation warnings

Notes:
Changed some strings in tests to raw strings, which will change the literal content of the strings as they are fed into whatever machine handles them.
Test cases for past in the past/past_key_values switch changed/removed due to warning of impending removal

* Add PILImageResampling abstraction for PIL.Image.Resampling

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

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

* Fixed pegasus_x config doctest

* Test commit
Co-authored-by: mukesh663 <mukesh13034@gmail.com>

* Adding config files for configuration_clip.py

* Adding config files for convnext

* Undoing

* making the required changes

* Update documentation_tests.txt

This PR (https://github.com/huggingface/transformers/pull/19367) introduced a few breaking changes:

- Removed an argument `mask_threshold`.
- Broke the default behavior (instance vs panoptic in the function call)
  https://github.com/huggingface/transformers/pull/19367/files#diff-60f846b86fb6a21d4caf60f5b3d593a04accb8f248de3029cccae2ff898c5bc3R119-R120
- Broke the actual masks: https://github.com/huggingface/transformers/pull/1961

This PR is the start of a handful that will aim at bringing back the old
behavior(s).

- tests should not have to specify `task` by default, unless we want to
  modify the behavior and have a lower form of segmentation running)
- `test_small_model_pt` should be working.

This specific PR starts with adding more information to the masks hash
because missing the actual mask was actual easy to miss (the hashes do
change, but it was easy to miss that one code path wasn't properly
updated).

So we go from a simple `hash` to
```
{"hash": #smaller hash, "shape": (h, w), "white_pixels": n}
```

The `shape` should help make sure the interpolation of the mask works
correctly, the `white_pixels` hopefully helps detect big regressions in
their amount when the hash gets modified.

* add return_tensors parameter for feature_extraction  w/ test

add return_tensor parameter for feature extraction

Revert "Merge branch 'feature-extraction-return-tensor' of https://github.com/ajsanjoaquin/transformers

 into feature-extraction-return-tensor"

This reverts commit d559da743b87914e111a84a98ba6dbb70d08ad88, reversing
changes made to bbef89278650c04c090beb65637a8e9572dba222.

call parameter directly
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

Fixup.

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

* Fix the imports.

* Fixing the test by not overflowing the model capacity.
Co-authored-by: AJ San Joaquin <ajsanjoaquin@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: mukesh663 <mukesh13034@gmail.com>

* First draft

* Add conversion script

* Make conversion work

* Upload checkpoints

* Add final fixes

* Revert changes of conditional and deformable detr

* Fix toctree, add and remove copied from

* Use model type

* Improve docs

* Improve code example

* Update copies

* Add copied formt

* Don't update conditional detr

* Don't update deformable detr

🚨 🚨 🚨

 [Breaking change] Deformable DETR intermediate representations (#19678)

* [Breaking change] Deformable DETR intermediate representations

- Fixes naturally the `object-detection` pipeline.
- Moves from `[n_decoders, batch_size, ...]` to `[batch_size,
  n_decoders, ...]` instead.

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

* [Wav2Vec2] Allow user-managed Pool in Wav2Vec2ProcessorWithLM.batch_decode

* [Wav2Vec2] Add user-managed LM's pool tests and usage examples

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

* [Wav2Vec2] Fix hyperlink references
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Improve DETR models

* Fix Deformable DETR loss and matcher

* Fixup

* Fix integration tests

* Improve variable names

* Apply suggestion

* Fix copies

* Fix DeformableDetrLoss

* Make Conditional DETR copy from Deformable DETR

* Copy from deformable detr's hungarian matcher

* Fix bug

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