GitLab

* Model card: T5-base fine-tuned on QuaRTz

* Update model_cards/mrm8488/t5-base-finetuned-quartz/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Update README.md

* Update README.md

* Model Card for abhilash1910/financial_roberta

* Update model_cards/abhilash1910/financial_roberta/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

Modified Model in Action section. The class `AutoModelWithLMHead` is deprecated so changed it to `AutoModelForSeq2SeqLM` for encoder-decoder models. Removed duplicate eos token.

* replace performance table with markdown

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

* improve summary

* small fixes

* cleaned line length

* correct "" formatting

* apply sylvains suggestions

* Adding PrefixConstrainedLogitsProcessor

* fixing RAG and style_doc

* fixing black (v20 instead of v19)

* Improving doc in generation_logits_process.py

* Improving docs and typing in generation_utils.py

* docs improvement

* adding test and fixing doc typo

* fixing doc_len

* isort on test

* fixed test

* improve docstring a bit
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* New TF loading weights

* apply style

* Better naming

* Largely comment the loading method

* Apply style

* Address Patrick's comments

* Remove useless line of code

* Update Docstring

* Address Sylvain's and Lysandre's comments

* Simplify the names computation

* Typos

(one line typo)

Multiline string informing about missing PyTorch/TensorFlow had missing space.

* make tr_loss regular float

* Revert "make tr_loss regular float"

This reverts commit c9d7ccfaf0c4387187b0841694f01ec0ffd5f4ba.

* reset loss at each logging step

* keep track of total loss with _total_loss_scalar

* add remaining tr_loss at the end

* Add Harry Potter Model

* Update model_cards/ceostroff/harry-potter-gpt2-fanfiction/README.md

* Update model_cards/ceostroff/harry-potter-gpt2-fanfiction/README.md

* Update model_cards/ceostroff/harry-potter-gpt2-fanfiction/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Remove old deprecated arguments
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* Remove needless imports

* Fix tests
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* Tokenizers should be framework agnostic

* Run the slow tests

* Not testing

* Fix documentation

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

* First fixes

* Fix imports and add init

* Fix typo

* Move init to final dest

* Fix tokenization import

* More fixes

* Styling

* <small>tiny typo</small>

* Tokenizers: ability to load from model subfolder

* use subfolder for local files as well

* Uniformize model shortcut name => model id

* from s3 => from huggingface.co
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>

* add docs

* make style

* add mt5 and t5v1_1 model

* fix tests

* correct some imports

* add tf model

* finish tf t5

* improve examples

* fix copies

* clean doc

* Put models in subfolders

* Styling

* Fix imports in tests

* More fixes in test imports

* Sneaky hidden imports

* Fix imports in doc files

* More sneaky imports

* Finish fixing tests

* Fix examples

* Fix path for copies

* More fixes for examples

* Fix dummy files

* More fixes for example

* More model import fixes

* Is this why you're unhappy GitHub?

* Fix imports in conver command

* Fix mixed precision issue for GPT2

* Forgot one cast

* oops

* Forgotten casts

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Run on the real suite

* Fix slow tests

* Fix passing token_type_ids during GPT2DoubleHeadsModel.generate() if used

and for GPT2LMHeadModel too

* Update tests to check token_type_ids usage in GPT2 models

* Simply insert T5Tokenizer's prepare_seq2seq_batch

* Update/Add some 'import'

* fix RunTimeError caused by '.view'

* Moves .view related error avoidance from seq2seq_trainer to inside prophetnet

* Update test_tokenization_prophetnet.py

* Format the test code with black

* Re-format the test code

* Update test_tokenization_prophetnet.py

* Add importing require_torch in the test code

* Add importing BatchEncoding in the test code

* Re-format the test code on Colab