* Add missing type hints for all flavors of LayoutLMv2 PyTorch models.
* Fixed return types and added type hints for LayoutLM.
* Fix removed arguments which breaks tests.
* 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>
* 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
* 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
* 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>
