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* Create an XLA parameter and fix mixed precision creation

* Fix issue brought by intellisense

* Complete docstring

* Add possibility to evaluate every epoch

* Remove multitype arg

* Remove needless import

* Use a proper enum

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

* One else and formatting
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* is_pretokenized -> is_split_into_words

* Fix tests

* Fix #7277

* Apply style

* Add a full training pipeline test

* Apply style

* first version

* finish test docs readme model/config/tokenization class

* apply make style and make quality

* fix layoutlm GitHub link

* fix conflict in index.rst and add layoutlm to pretrained_models.rst

* fix bug in test_parents_and_children_in_mappings

* reformat modeling_auto.py and tokenization_auto.py

* fix bug in test_modeling_layoutlm.py

* Update docs/source/model_doc/layoutlm.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/layoutlm.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove inh, add tokenizer fast, and update some doc

* copy and rename necessary class from modeling_bert to modeling_layoutlm

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add mish to activations.py, import ACT2FN and import logging from utils
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Copy code from Bert to Roberta and add safeguard script

* Fix docstring

* Comment code

* Formatting

* Update src/transformers/modeling_roberta.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add test and fix bugs

* Fix style and make new comand
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* save hostname

* Added RobBERT-v2 model card

* minor Tweaks
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

This PR includes the model card for the IXAmBERT model which has been recently uploaded to the huggingface repository.

fix to match `distillation.py:        self.alpha_encoder_loss`

[fsmt] rewrite SinusoidalPositionalEmbedding + USE_CUDA test fixes + new TranslationPipeline test (#7224)

* fix USE_CUDA, add pipeline

* USE_CUDA fix

* recode SinusoidalPositionalEmbedding into nn.Embedding subclass

was needed for torchscript to work - this is now part of the state_dict, so will have to remove these keys during save_pretrained

* back out (ci debug)

* restore

* slow last?

* facilitate not saving certain keys and test

* remove no longer used keys

* style

* fix logging import

* cleanup

* Update src/transformers/modeling_utils.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* fix bug in max_positional_embeddings

* rename keys to keys_to_never_save per suggestion, improve the setup

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

Two new pre-trained models "vinai/bertweet-covid19-base-cased" and "vinai/bertweet-covid19-base-uncased" are resulted by further pre-training the pre-trained model "vinai/bertweet-base" on a  corpus of 23M COVID-19 English Tweets for 40 epochs.

* fix compute_metrics_fn

* p.predictions -> preds

* apply suggestions

Found an issue when `@slow` isn't the last decorator (gets ignored!), so documenting this significance.

* Add BERTweet and PhoBERT models

* Update modeling_auto.py

Re-add `bart` to LM_MAPPING

* Update tokenization_auto.py

Re-add `from .configuration_mobilebert import MobileBertConfig`
not sure why it's replaced by `from transformers.configuration_mobilebert import MobileBertConfig`

* Add BERTweet and PhoBERT to pretrained_models.rst

* Update tokenization_auto.py

Remove BertweetTokenizer and PhobertTokenizer out of tokenization_auto.py (they are currently not supported by AutoTokenizer.

* Update BertweetTokenizer - without nltk

* Update model card for BERTweet

* PhoBERT - with Auto mode - without import fastBPE

* PhoBERT - with Auto mode - without import fastBPE

* BERTweet - with Auto mode - without import fastBPE

* Add PhoBERT and BERTweet to TF modeling auto

* Improve Docstrings for PhobertTokenizer and BertweetTokenizer

* Update PhoBERT and BERTweet model cards

* Fixed a merge conflict in tokenization_auto

* Used black to reformat BERTweet- and PhoBERT-related files

* Used isort to reformat BERTweet- and PhoBERT-related files

* Reformatted BERTweet- and PhoBERT-related files based on flake8

* Updated test files

* Updated test files

* Updated tf test files

* Updated tf test files

* Updated tf test files

* Updated tf test files

* Update commits from huggingface

* Delete unnecessary files

* Add tokenizers to auto and init files

* Add test files for tokenizers

* Revised model cards

* Update save_vocabulary function in BertweetTokenizer and PhobertTokenizer and test files

* Revised test files

* Update orders of Phobert and Bertweet tokenizers in auto tokenization file