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This reverts commit 76e05518.

* Fix test

* Fix cardinality issue

* Fix test

* Reintroduce clean_text call which was removed by mistake in #4723
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added unittest for clean_text parameter on Bert tokenizer.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Better unittest name.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Adapt unittest to use untrained tokenizer.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Code quality + update test
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

The same type of errors as in https://github.com/huggingface/transformers/pull/4300

* Fix RobertaForCausalLM docs

* Apply review suggestion
Co-authored-by: sgugger <sylvain.gugger@gmail,com>
Co-authored-by: sgugger <sylvain.gugger@gmail,com>

* pin torch-hub test

* add protobuf dep

Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove Transfo-XL fast tokenizer (#7141)

* [WIP] SP tokenizers

* fixing tests for T5

* WIP tokenizers

* serialization

* update T5

* WIP T5 tokenization

* slow to fast conversion script

* Refactoring to move tokenzier implementations inside transformers

* Adding gpt - refactoring - quality

* WIP adding several tokenizers to the fast world

* WIP Roberta - moving implementations

* update to dev4 switch file loading to in-memory loading

* Updating and fixing

* advancing on the tokenizers - updating do_lower_case

* style and quality

* moving forward with tokenizers conversion and tests

* MBart, T5

* dumping the fast version of transformer XL

* Adding to autotokenizers + style/quality

* update init and space_between_special_tokens

* style and quality

* bump up tokenizers version

* add protobuf

* fix pickle Bert JP with Mecab

* fix newly added tokenizers

* style and quality

* fix bert japanese

* fix funnel

* limite tokenizer warning to one occurence

* clean up file

* fix new tokenizers

* fast tokenizers deep tests

* WIP adding all the special fast tests on the new fast tokenizers

* quick fix

* adding more fast tokenizers in the fast tests

* all tokenizers in fast version tested

* Adding BertGenerationFast

* bump up setup.py for CI

* remove BertGenerationFast (too early)

* bump up tokenizers version

* Clean old docstrings

* Typo

* Update following Lysandre comments
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

Replaced torch.load for loading the pretrained vocab of TransformerXL tokenizer to pickle.load (#6935)

* Replaced torch.load for loading the pretrained vocab of TransformerXL to pickle.load

* Replaced torch.save with pickle.dump when saving the vocabulary

* updating transformer-xl

* uploaded on S3 - compatibility

* fix tests

* style

* Address review comments
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

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>