GitLab

* feat: initial implementation of convnext in tensorflow.

* fix: sample code for the classification model.

* chore: added checked for  from the classification model.

* chore: set bias initializer in the classification head.

* chore: updated license terms.

* chore: removed ununsed imports

* feat: enabled  argument during using drop_path.

* chore: replaced tf.identity with layers.Activation(linear).

* chore: edited default checkpoint.

* fix: minor bugs in the initializations.

* partial-fix: tf model errors for loading pretrained pt weights.

* partial-fix: call method updated

* partial-fix: cross loading of weights (4x3 variables to be matched)

* chore: removed unneeded comment.

* removed playground.py

* rebasing

* rebasing and removing playground.py.

* fix: renaming TFConvNextStage conv and layer norm layers

* chore: added initializers and other minor additions.

* chore: added initializers and other minor additions.

* add: tests for convnext.

* fix: integration tester class.

* fix: issues mentioned in pr feedback (round 1).

* fix: how output_hidden_states arg is propoagated inside the network.

* feat: handling of  arg for pure cnn models.

* chore: added a note on equal contribution in model docs.

* rebasing

* rebasing and removing playground.py.

* feat: encapsulation for the convnext trunk.

* Fix variable naming; Test-related corrections; Run make fixup

* chore: added Joao as a contributor to convnext.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* chore: corrected copyright year and added comment on NHWC.

* chore: fixed the black version and ran formatting.

* chore: ran make style.

* chore: removed from_pt argument from test, ran make style.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* fix: tests in the convnext subclass, ran make style.

* rebasing

* rebasing and removing playground.py.

* rebasing

* rebasing and removing playground.py.

* chore: moved convnext test to the correct location

* fix: locations for the test file of convnext.

* fix: convnext tests.

* chore: applied  sgugger's suggestion for dealing w/ output_attentions.

* chore: added comments.

* chore: applied updated quality enviornment style.

* chore: applied formatting with quality enviornment.

* chore: revert to the previous tests/test_modeling_common.py.

* chore: revert to the original test_modeling_common.py

* chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py

* fix: tests for convnext.

* chore: removed output_attentions argument from convnext config.

* chore: revert to the earlier tf utils.

* fix: output shapes of the hidden states

* chore: removed unnecessary comment

* chore: reverting to the right test_modeling_tf_common.py.

* Styling nits
Co-authored-by: ariG23498 <aritra.born2fly@gmail.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* Added model specific output classes to poolformer docs

* Fixed Segformer typo in Poolformer docs

* [Wav2Vec2 Time Stamps]

* Add first version

* add word time stamps

* Fix

* save intermediate space

* improve

* [Finish CTC Tokenizer]

* remove @

* remove @

* push

* continue with phonemes

* up

* finish PR

* up

* add example

* rename

* finish

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

* correct split

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

* Init PLBART

* Add missing configuration file

* Add conversion script and configurationf ile

* Fix style

* Update modeling and conversion scripts

* Fix scale embedding in config

* Add comment

* Fix conversion script

* Add classification option to conversion script

* Fix vocab size in config doc

* Add tokenizer files from MBart50

* Allow no lang code in regular tokenizer

* Add PLBart Tokenizer Converters

* Remove mask from multi tokenizer

* Remove mask from multi tokenizer

* Change from MBart-50 to MBart tokenizer

* Fix names and modify src/tgt behavior

* Fix imports for tokenizer

* Remove <mask> from multi tokenizer

* Fix style

* Change tokenizer_class to processor_class

* Add attribute map to config class

* Update modeling file to modified MBart code

* Update configuration file to MBart style configuration

* Fix tokenizer

* Separate tokenizers

* Fix error in tokenization auto

* Copy MBart tests

* Replace with MBart tokenization tests

* Fix style

* Fix language code in multi tokenizer

* Fix configuration docs

* Add entry for plbart_multi in transformers init

* Add dummy objects and fix imports

* Fix modeling tests

* Add TODO in config

* Fix copyright year

* Fix modeling docs and test

* Fix some tokenization tests and style

* Add changes from review

* Fix copies

* Fix docs

* Fix docs

* Fix style

* Fix year

* Add changes from review

* Remove extra changes

* Fix base tokenizer and doc

* Fix style

* Fix modeling and slow tokenizer tests

* Remove Multi-tokenizer Converter and Tests

* Delete QA model and Multi Tokenizer dummy objects

* Fix repo consistency and code quality issues

* Fix example documentation

* Fix style

* Remove PLBartTokenizer from type checking in init

* Fix consistency issue

* Add changes from review

* Fix style

* Remove PLBartTokenizerFast

* Remove FastTokenizer converter

* Fix AutoTokenzier mapping

* Add plbart to toctree and fix consistency issues

* Add language codes tokenizer test

* Fix styling and doc issues

* Add fixes for failing tests

* Fix copies

* Fix failing modeling test

* Change assert to assertTrue in modeling tests

* Add first draft

* Make model importable

* Make SwinForMaskedImageModeling importable

* Fix imports

* Add missing inits

* Add support for Swin

* Fix bug

* Fix bug

* Fix another bug

* Fix Swin MIM implementation

* Fix default encoder stride

* Fix Swin

* Add print statements for debugging

* Add image_size data argument

* Fix Swin

* Fix image_size

* Add print statements for debugging

* Fix print statement

* Remove print statements

* Improve reshaping of bool_masked_pos

* Add support for DeiT, fix tests

* Improve docstrings

* Apply new black version

* Improve script

* Fix bug

* Improve README

* Apply suggestions from code review

* Remove DS_Store and add to gitignore

* Apply suggestions from code review + fix BEiT Flax

* Revert BEiT changes

* Improve README

* Fix code quality

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

* Added all files, PoolFormerFeatureExtractor still failing tests

* Fixed PoolFormerFeatureExtractor not being able to import

* Completed Poolformer doc

* Applied Suggested fixes

* Fixed errors in modeling_auto.py

* Fix feature extractor, convert docs to Markdown, styling of code

* Remove PoolFormer from check_repo and fix integration test

* Remove Poolformer from check_repo

* Fixed configuration_poolformer.py docs and removed inference.py from poolformer

* Ran with black v22

* Added PoolFormer to _toctree.yml

* Updated poolformer doc

* Applied suggested fixes and added on README.md

* Did make fixup and make fix-copies, tests should pass now

* Changed PoolFormer weights conversion script name and fixed README

* Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py

* Added PoolFormerFeatureExtractor to AutoFeatureExtractor API
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* [t5] faster/leaner custom layer norm

* wip

* apex.normalization.FusedRMSNorm

* cleanup

* cleanup

* add doc

* add catch all

* Trigger CI

* expand

Forward looks for inputs, not input_ids

* Add attribute_map

* Add mention in docs

* Set hidden_size attribute correctly

* Add note about Transformer-based models only
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

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

* Add wrapper classes

* convert inner layers to tf

* Add TF Encoder and Decoder layers

* TFSpeech2Text models

* Loadable model

* TF model with same outputs as PT model

* test skeleton

* correct tests and run the fixup

* correct attention expansion

* TFSpeech2Text pask_key_values with TF format

* First draft

* Add conversion script

* Improve conversion script

* Improve docs and implement tests

* Define model output class

* Fix tests

* Fix more tests

* Add model to README

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

* Apply more suggestions from code review

* Apply suggestions from code review

* Rename dims to hidden_sizes

* Fix equivalence test

* Rename gamma to gamma_parameter

* Clean up conversion script

* Add ConvNextFeatureExtractor

* Add corresponding tests

* Implement feature extractor correctly

* Make implementation cleaner

* Add ConvNextStem class

* Improve design

* Update design to also include encoder

* Fix gamma parameter

* Use sample docstrings

* Finish conversion, add center cropping

* Replace nielsr by facebook, make feature extractor tests smaller

* Fix integration test
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Standardize instance segmentation models outputs

* Rename output

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

* Add legacy argument to the config and model forward

* Update src/transformers/models/beit/modeling_beit.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Copy fix in Segformer
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add xlm roberta xl

* add convert xlm xl fairseq checkpoint to pytorch

* fix init and documents for xlm-roberta-xl

* fix indention

* add test for XLM-R xl,xxl

* fix model hub name

* fix some stuff

* up

* correct init

* fix more

* fix as suggestions

* add torch_device

* fix default values of doc strings

* fix leftovers

* merge to master

* up

* correct hub names

* fix docs

* fix model

* up

* finalize

* last fix

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

* add copied from

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

* add xglm

* update vocab size

* fix model name

* style and tokenizer

* typo

* no mask token

* fix pos embed compute

* fix args

* fix tokenizer

* fix positions

* fix tokenization

* style and dic fixes

* fix imports

* add fast tokenizer

* update names

* add pt tests

* fix tokenizer

* fix typo

* fix tokenizer import

* fix fast tokenizer

* fix tokenizer

* fix converter

* add tokenizer test

* update checkpoint names

* fix tokenizer tests

* fix slow tests

* add copied from comments

* rst -> mdx

* flax model

* update flax tests

* quality

* style

* doc

* update index and readme

* fix copies

* fix doc

* update toctrr

* fix indent

* minor fixes

* fix config doc

* don't save embed_pos weights

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

* address Sylvains commnets, few doc fixes

* fix check_repo

* align order of arguments

* fix copies

* fix labels

* remove unnecessary mapping

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

* Add cookiecutter files

* Add cuda kernels and cpp files

* Update modeling_yoso.py

* Add .h files

* Update configuration_yoso.py

* Updates

* Remove tokenizer

* Code quality

* Update modeling_yoso.py

* Update modeling_yoso.py

* Fix failing test

* Update modeling_yoso.py

* Fix code quality

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

* Apply suggestions from code review

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

* Apply suggestions from code review and fix integration tests

* Update src/transformers/models/yoso/modeling_yoso.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply suggestions from code review

* Fix copied from statement

* Fix docstring

* Fix code quality

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

* Apply suggestions and fix mask

* Apply suggestions from code review

* Fix code quality

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

* Fix docstrings

* Fix code quality

* Remove trailing whitespace

* Update yoso.mdx

* Move kernel loading to YosoEncoder

* make style

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

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

* Add short summary to docs

* Update docs/source/model_doc/yoso.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update yoso.mdx

* Update docs/source/model_doc/yoso.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove CausalLM model and add copied from

* Remove autoregressive code

* Remove unused imports

* add copied from for embeddings

* Fix code quality

* Update docs/source/model_doc/yoso.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestion from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add all files

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

* Updates

* Apply suggestions from review

* Fix failing tests

* Update __init__.py

* Update configuration_swin.py

* Update auto_factory.py

* Fix pytests

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

* Fix tests and default checkpoint

* Fix Recursion error

* Code quality

* Remove copied from

* Update modeling_swin.py

* Code quality

* Update modeling_swin.py

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

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

* Apply suggestions from code review

* Fix feature extractor

* Fix code quality

* Apply suggestions from code review
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>

* Apply suggestions from code review

* Update configuration_swin.py

* Update default checkpoint

* Apply suggestions from code review
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>

* Update docs/source/model_doc/swin.mdx
Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>

* Update conversion script

* Reformat conversion script
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu>

* First commit

* Add conversion script

* Make conversion script work for base model

* More improvements

* Update conversion script, works for vqa

* Add indexing argument to meshgrid

* Make conversion script work for ViltForPreTraining

* Add ViltForPreTraining to docs

* Fix device issue

* Add processor

* Add MinMaxResize to feature extractor

* Implement call method of ViltProcessor

* Fix tests

* Add integration test

* Add loss calculation for VQA

* Improve tests

* Improve some more tests

* Debug tests

* Small improvements

* Add support for attention_mask

* Remove mask_it

* Add pixel_mask

* Add tests for ViltFeatureExtractor

* Improve tests

* Add ViltForNaturalLanguageVisualReasoning

* Add ViltForNaturalLanguageVisualReasoning to conversion script

* Minor fixes

* Add support for image_embeds, update docstrings to markdown

* Update docs to markdown

* Improve conversion script

* Rename ViltForPreTraining to ViltForMaskedLM

* Improve conversion script

* Convert docstrings to markdown

* Fix code example of retrieval model

* Properly convert masked language model

* Add integration test for nlvr

* Fix code quality

* Apply suggestions from code review

* Add copied from statements

* Fix pretrained_config_archive_map

* Fix docs

* Add model to README

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

* Apply more suggestions from code review

* Make code more readable

* Add ViltForNaturalLanguageVisualReasoning to the tests

* Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering

* Replace pixel_values_2 by single tensor

* Add hidden_states and attentions

* Fix one more test

* Fix all tests

* Update year

* Fix rebase issues

* Fix another rebase issue

* Remove ViltForPreTraining from auto mapping

* Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval

* Make it possible to use BertTokenizerFast in the processor

* Use BertTokenizerFast by default

* Rename ViltForNaturalLanguageVisualReasoning, define custom model output
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add MAE to AutoFeatureExtractor

* Add link to notebook

* Fix relative paths

* Remove BertTokenizer abstraction

* Add FastTokenizer to REALM

* Fix config archive map

* Fix copies

* Update realm.mdx

* Apply suggestions from code review

* First draft

* More improvements

* More improvements

* More improvements

* Fix embeddings

* Add conversion script

* Finish conversion script

* More improvements

* Fix forward pass

* Remove print statements

* Add weights initialization

* Add initialization of decoder weights

* Add support for other models in the conversion script

* Fix patch_size for huge model

* Fix most of the tests

* Fix integration test

* Fix docs

* Fix archive_list

* Apply suggestions from code review

* Improve documentation

* Apply more suggestions

* Skip some tests due to non-deterministic behaviour

* Fix test_initialization

* Remove unneccessary initialization of nn.Embedding

* Improve docs

* Fix dummies

* Remove ViTMAEFeatureExtractor from docs

* Add model to README and table of contents

* Delete inference file

* REALM initial commit

* Retriever OK (Update new_gelu).

* Encoder prediction score OK

* Encoder pretrained model OK

* Update retriever comments

* Update docs, tests, and imports

* Prune unused models

* Make embedder as a module `RealmEmbedder`

* Add RealmRetrieverOutput

* Update tokenization

* Pass all tests in test_modeling_realm.py

* Prune RealmModel

* Update docs

* Add training test.

* Remove completed TODO

* Style & Quality

* Prune `RealmModel`

* Fixup

* Changes:
1. Remove RealmTokenizerFast
2. Update docstrings
3. Add a method to RealmTokenizer to handle candidates tokenization.

* Fix up

* Style

* Add tokenization tests

* Update `from_pretrained` tests

* Apply suggestions

* Style & Quality

* Copy BERT model

* Fix comment to avoid docstring copying

* Make RealmBertModel private

* Fix bug

* Style

* Basic QA

* Save

* Complete reader logits

* Add searcher

* Complete searcher & reader

* Move block records init to constructor

* Fix training bug

* Add some outputs to RealmReader

* Add finetuned checkpoint variable names parsing

* Fix bug

* Update REALM config

* Add RealmForOpenQA

* Update convert_tfrecord logits

* Fix bugs

* Complete imports

* Update docs

* Update naming

* Add brute-force searcher

* Pass realm model tests

* Style

* Exclude RealmReader from common tests

* Fix

* Fix

* convert docs

* up

* up

* more make style

* up

* upload

* up

* Fix

* Update src/transformers/__init__.py

* adapt testing

* change modeling code

* fix test

* up

* up

* up

* correct more

* make retriever work

* update

* make style

* finish main structure

* Resolve merge conflict

* Make everything work

* Style

* Fixup

* Fixup

* Update training test

* fix retriever

* remove hardcoded path

* Fix

* Fix modeling test

* Update model links

* Initial retrieval test

* Fix modeling test

* Complete retrieval tests

* Fix

* style

* Fix tests

* Fix docstring example

* Minor fix of retrieval test

* Update license headers and docs

* Apply suggestions from code review

* Style

* Apply suggestions from code review

* Add an example to RealmEmbedder

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

* Initial commit

* Config and modelling changes

Added Nystromformer-specific attributes to config and removed all decoder functionality from modelling.

* Modelling and test changes

Added Nystrom approximation and removed decoder tests.

* Code quality fixes

* Modeling changes and conversion script

Initial commits to conversion script, modeling changes.

* Minor modeling changes and conversion script

* Modeling changes

* Correct modeling, add tests and documentation

* Code refactor

* Remove tokenizers

* Code refactor

* Update __init__.py

* Fix bugs

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

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

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

* Update docs/source/model_doc/nystromformer.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

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

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

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

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

* Update modeling and test_modeling

* Code refactor

* .rst to .mdx

* doc changes

* Doc changes

* Update modeling_nystromformer.py

* Doc changes

* Fix copies

* Apply suggestions from code review
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>

* Update configuration_nystromformer.py

* Fix copies

* Update tests/test_modeling_nystromformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update test_modeling_nystromformer.py

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix code style

* Update modeling_nystromformer.py

* Update modeling_nystromformer.py

* Fix code style

* Reformat modeling file

* Update modeling_nystromformer.py

* Modify NystromformerForMultipleChoice

* Fix code quality

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

* Code style changes and torch.no_grad()

* make style

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Start the work on TFVisionEncoderDecoderModel

* Expose TFVisionEncoderDecoderModel

* fix import

* Add modeling_tf_vision_encoder_decoder to _ignore_modules in get_model_modules()

* reorder

* Apply the fix for checkpoint loading as in #14016

* remove attention_mask + fix VISION_DUMMY_INPUTS

* A minimal change to make TF generate() work for vision models as encoder in encoder-decoder setting

* fix wrong condition: shape_list(input_ids) == 2

* add tests

* use personal TFViTModel checkpoint (for now)

* Add equivalence tests + projection layer

* style

* make sure projection layer can run

* Add examples

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

* Clean comments (need to work on TODOs for PyTorch models)

* Remove TF -> PT in check_pt_tf_equivalence for TFVisionEncoderDecoderModel

* fixes

* Revert changes in PT code.

* Update tests/test_modeling_tf_vision_encoder_decoder.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add test_inference_coco_en for TF test

* fix quality

* fix name

* build doc

* add main_input_name

* Fix ckpt name in test

* fix diff between master and this PR

* fix doc

* fix style and quality

* fix missing doc

* fix labels handling

* Delete auto.rst

* Add the changes done in #14016

* fix prefix

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

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

* support the trocr small models

* resolve conflict

* Update docs/source/model_doc/trocr.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/model_doc/trocr.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/model_doc/trocr.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

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

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

* fix unexpected indent in processing_trocr.py

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

* update the docstring of processing_trocr

* remove extra space
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add FlaxRoFormer

* Clean code + make quality

* Fix output pooling for FlaxRoFormerForMultipleChoiceModule

* Apply suggestions from code review

* add flax model to repos
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Map model_type and doc pages names

* Add script

* Fix typo

* Quality

* Manual check for Auto
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Fix bad examples

* Add black formatting to style_doc

* Use first nonempty line

* Put it at the right place

* Don't add spaces to empty lines

* Better templates

* Deal with triple quotes in docstrings

* Result of style_doc

* Enable mdx treatment and fix code examples in MDXs

* Result of doc styler on doc source files

* Last fixes

* Break copy from

* [doc] consistent True/False/None default format

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

* Add ElectraForCausalLM and cover some basic tests & need to fix a few tests

* Fix bugs

* make style

* make fix-copies

* Update doc

* Change docstring to markdown format

* Remove redundant update_keys_to_ignore

* Start the work for TFCLIPModel

* Convert to TF code (TODO: loss + doc)

* Clean up

* Fix pooled_output for TFCLIPTextTransformer - using tf.gather_nd

* assert -> raise error

* Expose TFCLIPModel

* Deal with dummy_inputs

* Add tests

* Fix all tests. TODO: manual check weight loading + add more comments

* Fix pt tf equivalence test

* fixes

* update TFCLIPVisionEmbeddings's Conv2D

* Fix loss + overwrite test_pt_tf_model_equivalence from common

* Add a comment about the change about MainLayer in test_keras_save_load

* Set return_loss=True in TFCLIPModelTester + make tests pass

* overwrite test_pt_tf_model_equivalence from tf common

* fix base_model_prefix

* Fix examples

* remove unused

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

* apply review suggestions

* change self.pre_layrnorm to self.pre_layernorm

* apply more review suggestions

* return attention probs before dropout (to align with PT)

* fix weight init

* fix

* build doc

* fix missing doc

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

* Convert all tutorials and guides

* Convert all remaining rst to mdx

* Track and fix bad links