* First attempt at TF XLA generation
* Fix comments
* Update XLA greedy generate with direct XLA calls
* Support attention mask, prepare_inputs_for_generation no longer hardcoded for greedy
* Handle position_ids correctly
* make xla generate work for non xla case
* force using xla generate
* refactor
* more fixes
* finish cleaning
* finish
* finish
* clean gpt2 tests
* add gpt2 tests
* correct more cases
* up
* finish
* finish
* more fixes
* flake 8 stuff
* final rag fix
* Update src/transformers/models/rag/modeling_tf_rag.py
* finish t5 as well
* finish
* Update src/transformers/generation_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix inconsistent example variable naming
- Example code for a sequence classification in Tensorflow had spelling mistakes and incorrect and inconsistent naming
- Changed variable naming to be consistent with the two other TF examples
* Fix incorrect incorrect training examples
* Added spanish translation of quicktour.mdx
* Suggestions applied in the revision of the translation
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>
Co-authored-by: Omar U. Espejel <espejelomar@gmail.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>
* Add type hints for LukeModel
* Add type hints for entitypairclassification
* Remove blank space
Co-authored-by: bhavika <bhavika@debian-BULLSEYE-live-builder-AMD64>
* Add type hints for TFDistilBert
* Update src/transformers/models/distilbert/modeling_tf_distilbert.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* Fix checkpoint name in docstring example
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Spanish translation of the file training.mdx
* Settings - Spanish translation of the file training.mdx
* Latest changes to the Spanish translation of the training.mdx file
* Delete Hugging.mdx
* Last changes to the training fil Espanish version
* Latest modifications
* Latest changes, document ready for PR
* Nits
Co-authored-by: Yhary Arias <yharystefa@gmail.com>
Co-authored-by: Omar U. Espejel <espejelomar@gmail.com>
* Change unpacking of TF mobilebert inputs to use decorator
* Move unpack_inputs as the top decorator
* make fixup
Co-authored-by: ChienVM <chien_vm@detomo.co.jp>
* Make TF pt-tf equivalence test more aggressive
* Fix for TFConvNextModelTest and TFTransfoXLModelTest
* fix kwargs for outputs
* clean-up
* Add docstring for check_outputs()
* remove: need to rename encoder-decoder
* clean-up
* send PyTorch things to the correct device
* Add back the accidentally removed test case in test_pt_tf_model_equivalence()
* Fix: change to tuple before calling check_outputs()
* Fix: tfo could be a list
* use to_tuple()
* allow tfo only to be tuple or tensor
* allow tfo to be list or tuple for now + style change
* minor fix
* remove np.copy and update comments
* tfo -> tf_output, same for pt
* Add more detailed comment
* remove the incorrect comment
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* 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.
