GitLab

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Create README.md

* Update README.md

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

* [Model card] SinhalaBERTo model.

This is the model card for keshan/SinhalaBERTo model.

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

Co-authored-by: Amin <amin.geotrend@gmail.com>

Minor changes: Add arxiv link + Layout improvement + fix typos

by @nikkon3

* Initial callback proposal

* Finish various callbacks

* Post-rebase conflicts

* Fix tests

* Don't use something that's not set

* Documentation

* Remove unwanted print.

* Document all models can work

* Add tests + small fixes

* Update docs/source/internal/trainer_utils.rst
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments

* Fix TF tests

* Real fix this time

* This one should work

* Fix typo

* Really fix typo
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix UnboundLocalError when PaddingStrategy is MAX_LENGTH

* Fix UnboundLocalError for TruncationStrategy

Resolves: #7613

* Add GPT2ForSequenceClassification based on DialogRPT

* Better documentation

* Code quality

It should be T5-3B not T5-3M.

- Use cuda:10.2 image instead of 10.1 (to address version mismatch
  warning with pytorch)
- Use devel version that is built on the runtime and includes headers
  and development tools (was otherwise failing to build apex)

* Create README.md

Model description for all LEGAL-BERT models, published as part of  "LEGAL-BERT: The Muppets straight out of Law School". Chalkidis et al., 2018, In Findings of EMNLP 2020

* Update model_cards/nlpaueb/legal-bert-base-uncased/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Fixing top_k and min_length assertions, and a typo fix

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Configuration

* Modeling

* Tokenization

* Obliterate the trailing spaces

* From underlines to long underlines

* Add ProtT5-XL-BFD model card

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* check only .py files

* better choice of words

* First try

* Fix TF utils

* Handle authorized unexpected keys when loading weights

* Add several more authorized unexpected keys

* Apply style

* Fix test

* Address Patrick's comments.

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

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

* Apply style

* Make return_dict the default behavior and display a warning message

* Revert

* Replace wrong keyword

* Revert code

* Add forgot key

* Fix bug in loading PT models from a TF one.

* Fix sort

* Add a test for custom load weights in BERT

* Apply style

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

* Check and update model list in index.rst automatically

* Check and update model list in index.rst automatically

* Adapt template

* PoC on RAG

* Format class name/obj name

* Better name in message

* PoC on one TF model

* Add PyTorch and TF dummy objects + script

* Treat scikit-learn

* Bad copy pastes

* Typo

'The class `AutoModelWithLMHead` is deprecated and will be removed in a future version. Please use `AutoModelForCausalLM` for causal language models, `AutoModelForMaskedLM` for masked language models and `AutoModelForSeq2SeqLM` for encoder-decoder models.'
I dont know how to change the 'How to use this model directly from the 🤗/transformers library:' part since it is not part of the model-paper