GitLab

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

* Add missing type hints for all flavors of RoBERTa PyTorch models.

* Fixed type hints for all classes and fixed return types.

* Rebuild deepspeed

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* 📝 first draft

* 🖍 apply feedback

* 🖍 apply feedback

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix test config, fix formatting

* fix rag integration, fix docstyling

* fix wrong docstring

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* change test according to new param

* fix formatting

* fix test case

* fix doc style

* move start_length calculation to Logitprocessor

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix rag integration, fix docstyling

* fix test config, fix formatting

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* add possibility to softly regulate length when using sampling method in model.generate() function

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* remove unused import

* fix small errors

* fix test

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix test config, fix formatting

* fix rag integration, fix docstyling

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* change test according to new param

* fix test case

* move start_length calculation to Logitprocessor

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix rag integration, fix docstyling

* fix test config, fix formatting

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix test config, fix formatting

* fix rag integration, fix docstyling

* add possibility to softly regulate length when using sampling method in model.generate() function

* fix rag integration, fix docstyling

* change param to tuple, add test

* fix old param in rag_model, remove unused import

* fix small errors

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

* Update src/transformers/generation_utils.py

* Update src/transformers/generation_utils.py

* fix docstring, add type ind model rag

* fix docstrings

* introduce seq_length variable for cleaner code

* fix black formatting

* add input_ids_seq_length to modeling_rag

* add input_ids_seq_length to test

* retrigger checks

* retrigger checks
Co-authored-by: Kevin Bondzio <kev@AIM-LAP-02.local>
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: Kevin Bondzio <kev@AIM-LAP-02.fritz.box>

* Adding type annotations for TFRoBERTa

* Add type hints to TFRobertaModel too

* Add type annotations for BERT and copies

* make fixup

* Remove assertion over possible activation functions

* Same for TF and Flax

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

* Fix duplicate arguments passed to dummy inputs in ONNX export

* Fix M2M100 ONNX config

* Ensure we check PreTrained model only if torch is available

* Remove TensorFlow tests for models without PyTorch parity

* support not sharing embeddings

* update modeling

* update tokenizer

* fix conversion script

* always use self.shared

* boom boom

* begin tests

* update tests

* fix resize_decoder_token_embeddings

* address Patrick's comments

* style

* update conversion script

* fix conversion script

* fix tokenizer

* better name target vocab

* add integration test for tokenizer with two vocabs

* style

* address Patrick's comments

* add integration test for model

* Support for torch 1.11

* Address Sylvain's comment

* Fix Bug in Flax Seq2Seq Models

* incorporate suggested changes

* MVP

* apply decorator to TFBertModel

* finish updating bert

* update rembert (copy-linked to bert)

* update roberta (copy-linked to bert); Fix args

* Now working for non-text modalities

* Build the doc in a seperate folder then move it

* Allow job

* Is this it?

* Dislike comments?

* Copy instead of move

* Removing version built

* Typos

* No variable

* Take _versions.yml into account

* Finish main job and add dev job

* Forgot the run

* Fix syntax error

* Execute builder from the repo

* Typo

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

* Fix Bug in Flax-Speech-Encoder-Decoder Test

* change thresholds for CPU precision

* Add attentions_option to common tester

* Fix tests, apply suggestion

* Apply suggestion from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* 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

"uvicorn" is misspelled as "unicorn".

* 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>

* Freeze Feature Encoder in FlaxSpeechEncoderDecoder

* add backprop test

* 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

* Add ONNX support for ViT

* Refactor to use generic preprocessor

* Add vision dep to tests

* Extend ONNX slow tests to ViT

* Add dummy image generator

* Use model_type to determine modality

* Add deprecation warnings for tokenizer argument

* Add warning when overwriting the preprocessor

* Add optional args to docstrings

* Add minimum PyTorch version to OnnxConfig

* Refactor OnnxConfig class variables from CONSTANT_NAME to snake_case

* Add reasonable value for default atol
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Use tiny model for TFRembertEncoderDecoderModelTest.get_pretrained_model()
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

at transformers/examples/pytorch/contrastive-image-text