GitLab

* Make Transformers use cache files when hf.co is down

* Fix tests

* Was there a random circleCI failure?

* Isolate patches

* Style

* Comment out the failure since it doesn't fail anymore

* Better comment

* Swap inequalities

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

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

* revert tf gpt2

* add test for unpack_inputs and fix test case

* add changes to vision encoder decoder

* added type hints for mbart tensorflow tf implementation

* Adding missing type hints for mBART model 

Tensorflow Implementation model added with missing type hints

* Missing Type hints - correction

For TF model

* Code fixup using make quality tests

* Hint types - typo error

* make fix-copies and make fixup

* type hints

* updated files
Co-authored-by: matt <rocketknight1@gmail.com>

* Initial commit

* Reversed signs, adjusted log entery.

* Check only when

* Cleanup checks

* Only trigger if we want to eval

* Run

* Move changes to callback

* [FlaxBart] make sure no grads are computed an bias

* correct all other seq2seq models

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* [T5] Add bash download script

* up

* up

* up

* Update src/transformers/models/t5/download_from_gcp.sh

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* ✨ refactor code samples with framework-specific blocks

* ✨ update training.mdx

* 🖍 apply feedback

* undo black autoformat

* minor fix to rembert forward with default

* make fix-copies, make quality

* Adding types to template model

* Removing List from the template types

* Remove `Optional` from a couple of types that don't accept `None`
Co-authored-by: matt <rocketknight1@gmail.com>

* Added type hinting for forward functions in pytorch marian

* typo correction

* Removed type hints on functions from BART per Suraj Patil request

* fix import pb

* fix typo

* corrected tuple call

* ran black

* after fix-copies
Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List

* Fixing copies to roformer and pegasus
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>

* Add link to notebook

* Add link

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

* add pt funnel type hints

* add tf funnel type hints

* Fix bugs for argument typo and positional embedding weight loading

* Reflect code review suggestion to cover different missing keys cases

* add xglm conversion script

* style

* update script

* First draft

* Fix logits calculation

* Improve tests

* Add copied from statements

* Fix base_model_prefix

* Improve implementation, upload new models

* Update design

* Fix integration test

* Add model to README and toctree

* Add document image

* Apply suggestions from code review

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

* Add decoder_hidden_size attribute

* Update design of decoder

* Add DepthEstimatorOutput class

* Rename in_index to head_in_index and add feature extractor tests

* Apply suggestions from code review

* Apply suggestions from code review

* Update pretrained model name and add to doc tests

* Remove test.py script

* Update copied from statements and clean up
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add type annotations for TF Longformer

* Update docstring data types to include numpy array

* Implement unpack_inputs decorator

* fixup after decorator updates

* Numpy array -> np.ndarray in docstring
Co-authored-by: Johnny Greco <johnny.greco@radpartners.com>

* Add Flaubert to ONNX to make it available for conversion.

* Fixed features for FlauBERT. fixup command remove flaubert to docs list.
Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* update results

* per-language metrics

* Format the per-language metrics

* Indent Seq2Seq Train Args docs

* Add Args keyword to Seq2Seq Train Args docs

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

* 📝 first draft

* 🖍 apply feedback

* Remove unused attributes

* Add link to blog and add clarification about input size

* Improve readability of the code
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Added type hints for PyTorch T5 model

* removed a type hint

* ran make style

* Add typing hints for base model class

* Add typing hints for causal LM model class

* Add typing hints for double heads model class

* Add typing hints for sequence classification model class

* Add typing hints for Main Layer

* Run fixup