GitLab

* First files

* More files

* Last files

* Style

* fix 2 pytorch vilt docstring examples

* add vilt to doctest list file

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

* encoder works

* addded files

* norm in stage

* convertion script

* tests

* fix copies

* make fix-copies

* fixed __init__

* make fix-copies

* fix

* shapiro test needed

* make fix-copie

* minor changes

* make style + quality

* minor refactor conversion script

* rebase + tests

* removed unused variables

* updated doc

* toctree

* CI

* doc

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

* resolved conversations

* make fixup

* config passed to modules

* config passed to modules

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

* conversations

* conversations

* copyrights

* normal test

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

* first commit

* ResNet model correctly implemented.

basic modeling + weights conversion is done

removed unused doc

mdx file

doc and conversion script

added feature_extractor to auto

test

minor changes + style + quality

doc

test

Delete process.yml

A left over from my attempt of running circleci locally

* minor changes

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

* new test format

* minor changes from conversations

* minor changes from conversations

* make style + quality

* readded the tests

* test + README

* minor changes from conversations

* error in README

* make fix-copies

* removed regression for classification head

* make quality

* fixed loss control flow

* fixed loss control flow

* resolved conversations

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

* READMEs

* index.mdx

* minor changes

* updated tests and models

* unused import

* outputs

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

* added embeddings_size

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

* conversation

* added push to hub

* test

* embedding_size

* make fix-copies

* resolved conversations

* CI

* changed organization

* minor changes

* CI

* minor changes

* conversations

* conversation

* doc

* tests

* removed unused docstring

* conversation

* removed unused outputs

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

* Move generate docs

* up

* Update docs/source/_toctree.yml

* correct

* correct some stuff

* correct tests

* more fixes

* finish generate

* add to doc stest

* finish

* finalize

* add warning to generate method

* Add conversion script

* Improve script

* Fix bug

* Add option to push to hub

* Add support for classification models

* Update model name

* Upload feature extractor files first

* Remove hash checking

* Fix config

* Add id2label

* Add import

* Fix id2label file name

* Fix expected shape

* Add model to README

* Improve docs

* Add integration test and fix CI

* Fix code style

* Add missing init

* Add model to SPECIAL_MODULE_TO_TEST_MAP
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* boom boom

* enable doctest for few seq2seq models

* add seq2seq models in documentation_tests.txt

* fix docstring blenderbot

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

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

* fix seq classif doc sample

* don't check loss for seq classif examples

* +IGNORE_OUTPUT => +IGNORE_RESULT

* fix _SEQ_CLASS_EXPECTED_OUTPUT_SHAPE

* fix some docs

* more fixes

* last fix (hopefully)

* fix big bird gen example

* fix mbart gen example
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add causal lm

* add CausalLM tests

* Add FlaxBartForCausalLM

* Add EncoderDecoder model tests

* change docstring

* make repo-consistency

* suggested changes

* remove jax ops

* correction

* rename pre-trained decoder model

* Simplify release utils

* Quality

* Adding Flax XLM-RoBERTa

* Add Flax to __init__

* Adding doc and dummy objects

* Add tests

* Add Flax XLM-R models autodoc

* Fix tests

* Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS

* Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Remove test on large Flask XLM-RoBERTa

* Add tokenizer to the test
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Add vision models to doc tests

* Apply suggestions from code review

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

* finish speech doc tests

* finish

* boom

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

* maskformer

* conflicts

* conflicts

* minor fixes

* feature extractor test fix

refactor MaskFormerLoss following conversation

MaskFormer related types should not trigger a module time import error

missed one

removed all the types that are not used

update config mapping

minor updates in the doc

resolved conversation that doesn't need a discussion

minor changes

resolved conversations

fixed DetrDecoder

* minor changes

minor changes

fixed mdx file

test feature_extractor return types

functional losses -> classes

removed the return type test for the feature extractor

minor changes + style + quality

* conflicts?

* rebase master

* readme

* added missing files

* deleded poolformers test that where in the wrong palce

* CI

* minor changes

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

* resolved conversations

* minor changes

* conversations

[Unispeech] Fix slow tests (#15818)

* remove soundfile old way of loading audio

* Adapt slow test

[Barthez Tokenizer] Fix saving (#15815)

[TFXLNet] Correct tf xlnet generate (#15822)

* [TFXLNet] Correct tf xlnet

* adapt test comment

Fix the push run (#15807)

Fix semantic segmentation pipeline test (#15826)

Fix dummy_inputs() to dummy_inputs in symbolic_trace doc (#15776)

Add model specific output classes to PoolFormer model docs (#15746)

* Added model specific output classes to poolformer docs

* Fixed Segformer typo in Poolformer docs

Adding the option to return_timestamps on pure CTC ASR models. (#15792)

* Adding the option to return_timestamps on pure CTC ASR models.

* Remove `math.prod` which was introduced in Python 3.8

* int are not floats.

* Reworking the PR to support "char" vs "word" output.

* Fixup!

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

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

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

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

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

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

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

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

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

* Quality.
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

HFTracer.trace should use/return self.graph to be compatible with torch.fx.Tracer (#15824)

Fix tf.concatenate + test past_key_values for TF models (#15774)

* fix wrong method name tf.concatenate

* add tests related to causal LM / decoder

* make style and quality

* clean-up

* Fix TFBertModel's extended_attention_mask when past_key_values is provided

* Fix tests

* fix copies

* More tf.int8 -> tf.int32 in TF test template

* clean-up

* Update TF test template

* revert the previous commit + update the TF test template

* Fix TF template extended_attention_mask when past_key_values is provided

* Fix some styles manually

* clean-up

* Fix ValueError: too many values to unpack in the test

* Fix more: too many values to unpack in the test

* Add a comment for extended_attention_mask when there is past_key_values

* Fix TFElectra extended_attention_mask when past_key_values is provided

* Add tests to other TF models

* Fix for TF Electra test: add prepare_config_and_inputs_for_decoder

* Fix not passing training arg to lm_head in TFRobertaForCausalLM

* Fix tests (with past) for TF Roberta

* add testing for pask_key_values for TFElectra model
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

[examples/summarization and translation] fix readme (#15833)

Add ONNX Runtime quantization for text classification notebook (#15817)

Re-enable doctests for the quicktour (#15828)

* Re-enable doctests for the quicktour

* Re-enable doctests for task_summary (#15830)

* Remove &

Framework split model report (#15825)

Add TFConvNextModel (#15750)

* 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>

* minor changes

* doc fix in feature extractor

* doc

* typose

* removed detr logic from config

* removed detr logic from config

* removed num_labels

* small fix in the config

* auxilary -> auxiliary

* make style

* some test is failing

* fix a weird char in config prevending doc-builder

* retry to fix the doc-builder issue

* make style

* new try to fix the doc builder

* CI

* change weights to facebook
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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>

* Add data2vec model cloned from roberta

* Add checkpoint conversion script

* Fix copies

* Update docs

* Add checkpoint conversion script

* Remove fairseq data2vec_text script and fix format

* Add comment on where to get data2vec_text.py

* Remove mock implementation cheat.py and fix style

* Fix copies

* Remove TF and Flax classes from init

* Add back copy from fairseq data2vec_text.py and fix style

* Update model name in docs/source/index.mdx to be CamelCase

* Revert model name in table to lower-case to get check_table test to pass

* Update src/transformers/models/data2vec/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/model_doc/data2vec.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/data2vec.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Update src/transformers/models/data2vec/configuration_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update documentation

* Copy-paste Data2VecConfig from BertConfig

* Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency

* Update config special tokens to match RoBERTa

* Split multiple assertions and add individual error messages

* Rename Data2VecModel to Data2VecForTextModel

* Add Data2Vec to _toctree.yml

* Rename Data2VecEmbeddings to Data2VecForTextEmbeddings

* Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding).

* finish audio model

* finish audio file

* Update names and fix style, quality and repo consistency

* Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files.

* add inputs to logits to data2vec'

* correct autio models

* correct config auto

* correct tok auto

* Update utils/tests_fetcher.py

* delete unnecessary files

* delete unnecessary files

* further renaming

* make all tests pass

* finish

* remove useless test file

* Update tests/test_modeling_common.py

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

* Update src/transformers/models/data2vec/modeling_data2vec_text.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix copies

* Update docs

* Remove fairseq data2vec_text script and fix format

* Add comment on where to get data2vec_text.py

* Remove mock implementation cheat.py and fix style

* Fix copies

* Remove TF and Flax classes from init

* Add back copy from fairseq data2vec_text.py and fix style

* Update model name in docs/source/index.mdx to be CamelCase

* Revert model name in table to lower-case to get check_table test to pass

* Update documentation

* Update src/transformers/models/data2vec/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* Update src/transformers/models/data2vec/configuration_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/configuration_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/data2vec/modeling_data2vec.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Copy-paste Data2VecConfig from BertConfig

* Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency

* Update config special tokens to match RoBERTa

* Split multiple assertions and add individual error messages

* Rename Data2VecModel to Data2VecForTextModel

* Add Data2Vec to _toctree.yml

* Rename Data2VecEmbeddings to Data2VecForTextEmbeddings

* Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding).

* finish audio model

* finish audio file

* add inputs to logits to data2vec'

* Update names and fix style, quality and repo consistency

* Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files.

* correct autio models

* correct config auto

* correct tok auto

* delete unnecessary files

* delete unnecessary files

* Update utils/tests_fetcher.py

* further renaming

* make all tests pass

* finish

* remove useless test file

* Update tests/test_modeling_common.py

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

* Update src/transformers/models/data2vec/modeling_data2vec_text.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Move data2vec tests to new structure

* Fix test imports for text tests

* Remove fairseq files

* Change paper link to arxiv

* Modify Data2Vec documentation to reflect that the encoder is not shared across the audio and text models in the current implementation.

* Update text model checkpoint to be facebook/data2vec-text-base

* Add 'Copy from' statements and update paper links and docs

* fix copy from statements

* improve copied from

* correct more copied from statements

* finish copied from stuff

* make style

* add model to README

* add to master
Co-authored-by: Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* rebase

* Delete shift tokens func

* downsample decoder input seq len for init

* correct attention mask

* add tests

* pt flax cross test

* make fixup

* init file for import

* change pt-flax cross test threshold

* pt-flax test logits only

* move tests

* make repo-consistency

* consistent indentation
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Re-enable doctests for the quicktour

* Re-enable doctests for task_summary (#15830)

* Remove &

* Per-folder tests reorganization

* Review comments
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Tests fetcher

* Review comments
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Review comments

* 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

* Allow custom code for Processors

* Add more test

* Test all auto_map configs are properly set

* Rework AutoFeatureExtractor.from_pretrained internal

* Custom feature extractor

* Add more tests

* Add support for custom feature extractor code

* Clean up

* Add TensorFlow support for ONNX export

* Change documentation to mention conversion with Tensorflow

* Refactor export into export_pytorch and export_tensorflow

* Check model's type instead of framework installation to choose between TF and Pytorch
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Alberto Bégué <alberto.begue@della.ai>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Make sure custom configs work with Transformers

* Apply code review suggestions

* Upgrade black to version ~=22.0

* Check copies

* Fix code

* 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>

* Allow dynamic modules to use relative imports

* Work for configs

* Fix last merge conflict

* Save code of registered custom objects

* Map strings to strings

* Fix test

* Add tokenizer

* Rework tests

* Tests

* Ignore fixtures py files for tests

* Tokenizer test + fix collection

* With full path

* Rework integration

* Fix typo

* Remove changes in conftest

* Test for tokenizers

* Add documentation

* Update docs/source/custom_models.mdx
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add file structure and file content

* Add more doc

* Style

* Update docs/source/custom_models.mdx
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Address review comments
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.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>

* fix_torch_device_generate_test

* remove @

* doc tests

* up

* up

* fix doctests

* adapt files

* finish refactor

* up

* save intermediate

* add more logic

* new change

* improve

* next try

* next try

* next try

* next try

* fix final spaces

* fix final spaces

* improve

* renaming

* correct more bugs

* finish wavlm

* add comment

* run on test runner

* finish all speech models

* adapt

* finish

* Add new model like command

* Bad doc-styler

* black and doc-styler, stop fighting!

* black and doc-styler, stop fighting!

* At last

* Clean up

* Typo

* Bad doc-styler

* Bad doc-styler

* All good maybe?

* Use constants

* Add doc and type hints

* More cleaning

* Add doc

* Fix Copied from

* Doc template

* Use typing.Pattern instead

* Framework-specific files

* Fixes

* Select frameworks clean model init

* Deal with frameworks in main init

* fixes

* Last fix

* Prompt user for info

* Delete exemple config

* Last fixes

* Add test config

* Fix bug with model_type included in each other

* Fixes

* More fixes

* More fixes

* Adapt config

* Remove print statements

* Will fix tokenization later, leave it broken for now

* Add test

* Quality

* Try this way

* Debug

* Maybe by setting the path?

* Let's try another way

* It should go better when actually passing the arg...

* Remove debug statements and style

* Fix config

* Add tests

* Test require the three backends

* intermediate commit

* Revamp pattern replacements and start work on feature extractors

* Adapt model info

* Finalize code for processors

* Fix in main init additions

* Finish questionnaire for processing classes

* Fix file name

* Fix for real

* Fix patterns

* Style

* Remove needless warnings

* Copied from should work now.

* Include Copied form in blocks

* Add test

* More fixes and tests

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

* Address review comment
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Refine errors for pretrained objects

* PoC to avoid using get_list_of_files

* Adapt tests to use new errors

* Quality + Fix PoC

* Revert "PoC to avoid using get_list_of_files"

This reverts commit cb93b7cae8504ef837c2a7663cb7955e714f323e.

* Revert "Quality + Fix PoC"

This reverts commit 3ba6d0d4ca546708b31d355baa9e68ba9736508f.

* Fix doc

* Revert PoC

* Add feature extractors

* More tests and PT model

* Adapt error message

* Feature extractor tests

* TF model

* Flax model and test

* Merge flax auto tests

* Add tokenization

* Fix test

* 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>

* Ignore empty subfolders when identifying submodules

* Update utils/check_inits.py

* Style docstrings when making/checking copies

* Polish