GitLab

* Create README.md

* Update model_cards/mymusise/gpt2-medium-chinese/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Fix DataCollatorForWholeWordMask

* Replace all tensorize_batch in data_collator.py

* rewrite modified_py_files in python to be cross-platform

* try a different way to test for variable not being ""

* improve comment

[All Seq2Seq model + CLM models that can be used with EncoderDecoder] Add cross-attention weights to outputs (#8071)

* Output cross-attention with decoder attention output

* Update src/transformers/modeling_bert.py

* add cross-attention for t5 and bart as well

* fix tests

* correct typo in docs

* add sylvains and sams comments

* correct typo
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Fix websitr address

fixes

* Create README.md

* Update model_cards/ktrapeznikov/gpt2-medium-topic-news/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

Initial commit

* Updated Read me

Updated

* Apply suggestions from code review
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* Update README.md

* Create README.md

Telugu BERTU Readme file

* Update model_cards/kuppuluri/telugu_bertu/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* model details

* Apply suggestions from code review
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Model card: CodeBERT fine-tuned for Insecure Code Detection

* Update model_cards/mrm8488/codebert-base-finetuned-detect-insecure-code/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* use decorator

* remove hardcoded paths

* make the test use more data and do real quality tests

* shave off 10 secs

* add --eval_beams 2, reformat

* reduce train size, use smaller custom dataset

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Make Trainer evaluation handle dynamic seq_length

* Document behavior.

* Fix test

* Better fix

* Fixes for realsies this time

* Address review comments

* Without forgetting to save...

* Output global_attentions in Longformer models

* make style

* small refactoring

* fix tests

* make fix-copies

* add for tf as well

* remove comments in test

* make fix-copies

* make style

* add docs

* make docstring pretty
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* change TokenClassificationTask class methods to static methods

Since we do not require self in the class methods of TokenClassificationTask we should probably switch to static methods. Also, since the class TokenClassificationTask does not contain a constructor it is currently unusable as is. By switching to static methods this fixes the issue of having to document the intent of the broken class.

Also, since the get_labels and read_examples_from_file methods are ought to be implemented. Static method definitions are unchanged even after inheritance, which means that it can be overridden, similar to other class methods.

* Trigger Build
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Create README.md

* Update README.md

* Apply suggestions from code review
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Clean up data collators and datasets

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Remove needless clone
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Try -j option

* Try other thing

* Bigger machine

* Test lower sphinx version

* Remove trailing space

* adding model cards for distil models

* forgot the languages

- The issue is that with previous code we would have the following:

```python
qa_pipeline = (...)
qa_pipeline(question="Where was he born ?", context="")
-> IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
```

The goal here is to improve this to actually return a ValueError
wherever possible.

While at it, I tried to simplify QuestionArgumentHandler's code to
make it smaller and more compat while keeping backward compat.

* update deepset/roberta-base-squad2 to v2

* Update model_cards/deepset/roberta-base-squad2/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>