GitLab

* [ViLT] Fix checkpoint url in config

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

(`hf-internal-testing/tiny-clip` for instance)

* [Proposal] Adding ZeroShotImageClassificationPipeline

- Based on CLIP

* WIP, Resurection in progress.

* Resurrection... achieved.

* Reword handling different `padding_value` for `feature_extractor` and
`tokenizer`.

* Thanks doc-builder !

* Adding docs + global namespace `ZeroShotImageClassificationPipeline`.

* Fixing templates.

* Make the test pass and be robust to floating error.

* Adressing suraj's comments on docs mostly.

* Tf support start.

* TF support.

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

* Fix `HfArgumentParser` when passing a generator

* Add missing import

* Always convert `dataclass_types` into a list

cna -> can

Co-authored-by: Boumadane Abdelmoumene <moumene.boumadane@gmail.com>

* [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>

* Add GeLU10 (clipped version of GeLU) to transformers to improve quantization performances.

* Add unittests.

* Import tensorflow after `is_tf_available` check.

* Fix tensorflow wrong function `tf.tensor` to `tf.constant`

* style.

* use `tf.math.max`

* Fix tf tests.

* style.

* style style style style style style

* style style style style style style

* Address @sgugger comments.

* Fix wrong operator for raising ValueError for ClippedGELUActivation.

* TF train_step docstring

* Working example with to_tf_dataset

* updated text_classification

* more comments

* Add layer_idx to CrossAttention

* Add layer_idx to crossattention of ImageGPT model

* begin script

* update script

* fix features and data args

* main

* add requirements

* add column name args

* fix captions

* don't jit transforms

* fix caption

* fix labels, handle attention mask

* convert pixel values to numpy

* labels => input_ids

* transform images on the fly

* use AutoModel class, create the hybird model outside of the script

* fix version message

* add readme

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adderss review comments

* add more comments

* allow freezing vision and text models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Remove input and target reset after preprocessing

* Add missing PLBart entry in index

* Fix README

* Fix README

* Fix style

* Change to master model doc

* fix bug in PT speech-encoder-decoder

* add pt test for `inputs is not None`

* fix test

* new pt test

* Update tests/test_modeling_speech_encoder_decoder.py

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

`HfDeepSpeedConfig` accepts a dictionary or path to `.json` file containing DS configurations, not `TrainingArguments`.

* 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 undo padding

* fix

* fix tuple issue

* make style and quality

* move unpad logic to LongformerEncoder + unpad attentions + update tests

* move unpad logic to TFLongformerEncoder
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Very big changes concerning the tokenizer fast of CLIP which did not correspond to the tokenizer slow of CLIP
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* doc for adding a model to the hub

* run make style

* resolved conversation

* removed a line

* removed )

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

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

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

* 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>

* fix README

* fix more arxiv links

* make fix-copies
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 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>

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

* Implement activations as pytorch modules

* Apply fixup

* Add missing tests for activations

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

* fix doc

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

* Add push_to_hub method to processors

* Fix test

* The other one too!

* Add register method to AutoProcessor

* Update src/transformers/models/auto/processing_auto.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>