GitLab

* trocr Config for doctest

* ran make style

* Data2Vec Text Config for doctest

* typo fix

* made suggested changes

* initial changes

* update the suggested order of import

* adds vision_encoder_decoder to Doc tests

* keep the initial order

* initial commit

* few suggested changes

* simplify loop

* fix layer map split

* update

* update for special variables

* add rag test

* fixup

* revert change : for next PR

* update feature extractor params

* update attention mask handling

* fix doc and pipeline test

* add warning when skipping test

* add whisper translation and transcription test

* fix build doc test

* Correct whisper processor

* make fix copies

* remove sample docstring as it does not fit whisper model

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

* fix, doctests are passing

* Nit

* last nit
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* ResNet Config for doctest

* added empty lines as suggested

* ran make style

* [Whisper] Fix gradient checkpointing (again!)

* [Whisper] Fix checkpointing (again!)

* Improve error messaging for ASR pipeline.

- Raise error early (in `_sanitize`) so users don't waste time trying to
  run queries with invalid params.

- Fix the error was after using `config.inputs_to_logits_ratio` so our
  check was masked by the failing property does not exist.

- Added some manual check on s2t for the error message.
  No non ctc model seems to be used by the default runner (they are all
  skipped).

* Removing pdb.

* Stop the early error it doesn't really work :(.

* fix: small error

* fix: another typo error

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* GPTTOkenizer dependency removed from deberta class

Fixup

made the Deberta Tokenizer fast independent of GPT-2 tokenizer

Copied annotation added

Done the dependency removal

* Added some missing copied statement

* Added some copied statements

* fix flaubert tokenizer

* update

* update

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

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

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add suport for non fast tf bert tokenizer

* add tests for non fast tf bert tokenizer

* fix fast bert tf tokenizer flag

* double tokenizers list on tf tokenizers test to aovid breaking zip on test output equivalence

* reformat code with black to comply with code quality checks

* trigger ci

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

* fix BLOOM ONNX config
- `value` params have `seq_len` as their 2nd axe as opposed to other models which have it as 3rd
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Add doc tests

* Make it more consistent
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* [Whisper] Don't return attention mask in feat extractor

* remove attention mask from test

* fix failing tests

* quality

* Cast masks to np.unit8 before converting to PIL.Image.Image

* Update tests

* Fixup

* [Doctest] Add `configuration_bigbird_pegasus.py` and `configuration_big_bird`

[Doctest] Re-style `configuration_big_bird.py`

* [Doctest] One python instruction per line

* [Doctest] Fix styling

* [Doctest] More styling fixes

* Added type hints for TF: XLNet

* Added type hints for TF: XLNet

* Added type hints for TF: XLNet

* Added type hints for TF: XLNet

* Added type hints for TF: XLNet

* Added type hints for TF: XLNet

* Add type hints for XLnet (TF)
* Added type hints for XLnet (TF)

* Update src/transformers/models/xlnet/modeling_tf_xlnet.py