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Update big table
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Fix doc tests

* Use Auto API

* Apply suggestion

* Revert "Apply suggestion"

This reverts commit cd9507a86644b4877c3e4a3d6c2d5919d9272dd7.
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* add new model like

* add v1

* v1

* v1

* vision encoder logits match

* v2

* fix

* add docstring

* CI tests pass

* fix tests

* make fixup

* add to `toctree`

* fix processors

* fix processors

* fix doc

* fill title

* add content doc

* remove from tokenization auto

* fix config

* change order

* add `# Copied from`

* few fixes

- add correct license on modeling text
- remove dummy argument

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

* replace name

* refactor a bit

* more refactor

* remove unused arg

* make fixup + remove some `# Adapted from ...`

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

* more `# Copied from`

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

* now `generate` supports no prefix

* remove `FeatureExtractor`

* fix path

* correct dependency

* fix tests

* few fixes

* add integration tests

* add correct conversion script

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

* add `blip` to tokenization auto

* fix docstrings

* fix test + add image

* remove processor from uncorrect place

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

* clean up a bit

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

* clean pixel mask

* clean pixel mask

* fix `F`

* Update src/transformers/models/blip/modeling_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

* fix output

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

* fix pad token id

* remove `token_type_ids`

* make fixup

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

* make fixup

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

* add comments

* Update src/transformers/models/blip/modeling_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* remove `token_type_ids`

* make fixup

* better name

* replace with `image_attention_mask`

* refactor

* make fixup

* better docstring

* replace `answer_xx`

* remove ununsed args

* add `labels`

* add `labels`

* fix processing tests

* make fixup

* make fixup

* put correct repo

* remove `pad`

* remove `crop` and `center_crop`

* Update src/transformers/models/blip/image_processing_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix

* remove `size_divisor`

* fix weights `init`

* remove unneeded functions

* add suggestions

* minor changes

- change slow test output for PT 1.13
- docstring order

* replace `feature_extractor` by `image_processor`

* fix doctests

* fix weight init order + add fp16 slow test

* add `blip` to doctest

* add correct repo name and fix test

* Update src/transformers/models/blip/processing_blip.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix tests

* use `convert_to_rgb` from `image_transforms`

* make fixup

* fix large loading issue
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* embed circle packing chart

* trim whitespace from bottom

* explain bubble sizes

* [S2T, Whisper] Add copied from statements

* rebase and fix-copies

* clarify use_fast parameter

* make style

* remove check frameworks, apply review

* Add support for binary segmentation

* Fix loss calculation and add test

* Remove space

* use fstring
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

remove unused use_cache in config classes
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix incorrect import for the base optimizer for AdamWeightDecay

* Fix incorrect import for the base optimizer for AdamWeightDecay

* [mBART] fix erroneous italics in docstring

* fix-copies

Removed unused max_position_embeddings in config classes
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix typo

* Update README.md

* Update run_mlm_flax_stream.py

* Update README.md

fix typo output not ouput

typo was causing an error on pytest collection

* Set up overall resources documentation structure

* Update vit.mdx

* Removing irrelevant sections on text models

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* Update vit.mdx

* [clip] fix error message

* sync

Use image_transforms pad

* fix nit

- initialization on `_init_weights`
- fix copies

* add copied from

lazy import torch._softmax_backward_data
Signed-off-by: daquexian <daquexian566@gmail.com>
Signed-off-by: daquexian <daquexian566@gmail.com>

* Copy RoBERTa

* formatting

* implement RoBERTa with prelayer normalization

* update test expectations

* add documentation

* add convertion script for DinkyTrain weights

* update checkpoint repo

Unfortunately the original checkpoints assumes a hacked roberta model

* add to RoBERTa-PreLayerNorm docs to toc

* run utils/check_copies.py

* lint files

* remove unused import

* fix check_repo reporting wrongly a test is missing

* fix import error, caused by rebase

* run make fix-copies

* add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS

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

* fixup: Fix documentation <Facebook> -> Facebook
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add missing Flax header
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* update copies after rebase

* add missing copied from statements

* make fix-copies

* make prelayernorm explicit in code

* fix checkpoint path for the original implementation

* add flax integration tests

* improve docs

* update utils/documentation_tests.txt

* lint files

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

* make fix-copies

* Remove EXPECTED_SLICE calculation comments
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Install sentencepiece in DS CI image

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

* First draft

* Add more improvements

* Improve forward pass

* Fix layernorm

* Add upscaler

* More improvements

* More improvements

* More improvements

* Improve conversion script

* Add preprocessing

* Make output match original implementation

* Add additional attributes

* Add support for more models

* Support more models

* Add support for real world sr

* Add initial Swin2SRFeatureExtractor

* Add ImageSuperResolutionOutput

* Make more tests pass

* Use BaseModelOutput

* Fix one more test

* Fix more tests

* Fix another test

* Fix all tests

* Rename to Swin2SRImageProcessor

* Fix toctree

* Fix toctree

* Fix rebase

* Improve Swin2SRImageProcessor

* Remove feature extractor file

* Improve model

* Improve conversion script

* Fix integration test

* Fix init

* Fix conversion script

* Address comments

* Improve upsampler

* Add NearestConvUpsampler

* Improve pixel shuffle upsampler

* Improve auxiliary upsampler

* Improve conversion script

* Rename conv_last to final_convolution

* Fix rebase

* Improve upsample module

* Add padding to image processor

* Fix bug

* Update padding

* Remove print statement and fix integration test

* Improve docs

* Add image processor tests

* Convert all checkpoints, fix testsé

* Remove print statements

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

* Add mapping

* Add mapping to pipeline

* Apply suggestions

* Fix feature extractor tests

* Use ForInstance, add model to universal mapping

* More fixes

* Remove model from deprecated objectsé
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Revert "Fixing object detection with `layoutlm` (#20776)"

This reverts commit fca66abe.

* Better fix for layoutlm object detection.

* Style.

skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING`

Recompile apex in DeepSpeed CI image
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Move convert_to_rgb to image_transforms module

* Fix tests

* generate from config mvp

* fix failing tests

* max_time test

* Load default gen config at model load time; Update docs

* further documentation; add tests

* adapt rag to the new structure

* handle models not instantiated with from_pretained (like in tests)

* better default generation config

* add can_generate fn

* handle legacy use case of ad hoc model config changes

* initialize gen config from config in individual methods, if gen config is none

* fix _get_decoder_start_token_id when called outside GenerationMixin

* correct model config load order (set attr > model config > decoder config)

* update rag to match latest changes

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* load gen config from model config in model.from_pretrained

* fix can_generate fn

* handle generate calls without a previous from_pretrained (e.g. tests)

* add legacy behavior (and a warning)

* lower logger severity
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Fixing object detection with layoutlm.

* Fixup.

fix failing `pipeline` test

* Workaround for #20287: FlanT5-XXL 8bit support

* Make fix-copies

* revert unrelated change

* Dont apply to longt5 and switch transformers

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

* Even more validation.

* Fixing order.

* Add Swin backbone

* Remove line

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

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

* Replaces xxx_required with requires_backends

* Fixup

* weight -> weights

* model embedding resize does not work with both v2 and noraml

* remove useless test

fix: 修复Trainer无法使用use_legacy_prediction_loop参数的问题

解决使用use_legacy_prediction_loop参数在predict阶段使用prediction_loop进行预测时，遇到AttributeError: 'PredictionOutput' object has no attribute 'num_samples'的问题
Co-authored-by: ZhouHang <zhouhang@idataway.com>

* Improve tests

* Improve TF tests

* Apply suggestion

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