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* support lowercase tokenizer

* fix arg pos

* add evaluate doc

* fix style with utils/style.doc

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

* Fix some tooling for windows

* Fix conflict

* Trigger CI

* 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...