MPNet: Masked and Permuted Pre-training for Language Understanding
# Model addition
[MPNet](https://arxiv.org/abs/2004.09297)

## Model description
MPNet introduces a novel self-supervised objective named masked and permuted language modeling for language understanding. It inherits the advantages of both the masked language modeling  (MLM) and the permuted language modeling (PLM) to addresses the limitations of MLM/PLM, and further reduce the inconsistency between the pre-training and fine-tuning paradigms.

# What does this PR do?

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Fixes # (issue)


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Hey @StillKeepTry - could you maybe link the paper corresponding to your model add a small PR description? :-) That would be very helpful<|||||>Thanks for the new PR @StillKeepTry - could you add a `test_modeling_mpnet.py` file - it would be important to test the model :-) 

Also it would be amazing if you could give some context of MPNet - is there a paper, blog post, analysis, results that go along with the model? And are there pretrained weights? 

Thanks a lot! <|||||>> Thanks for the new PR @StillKeepTry - could you add a `test_modeling_mpnet.py` file - it would be important to test the model :-) 
> 
> 
> 
> Also it would be amazing if you could give some context of MPNet - is there a paper, blog post, analysis, results that go along with the model? And are there pretrained weights? 
> 
> 
> 
> Thanks a lot! 

https://arxiv.org/abs/2004.09297<|||||>> > Thanks for the new PR @StillKeepTry - could you add a `test_modeling_mpnet.py` file - it would be important to test the model :-)
> > Also it would be amazing if you could give some context of MPNet - is there a paper, blog post, analysis, results that go along with the model? And are there pretrained weights?
> > Thanks a lot!
> 
> https://arxiv.org/abs/2004.09297

ok<|||||>Oh and another thing to do after the merge will be to add your new model to the main README and the documentation so that people can use it! The template should give you a file for the `.rst` (or you can use `docs/model_doc/bert.rst` as an example).<|||||>I have updated `test_modeling_mpnet.py` now.<|||||>Hi, every reviewer. Thank you for your valuable reviews. I have fixed previous comments (like doc, format, and so on) and updated the `tokenization_mpnet.py` and `tokenization_mpnet_fast.py` by removing the inheritance. Besides, I also upload test files (`test_modeling_mpnet.py`, `test_modeling_tf_mpnet.py`) for testing, and model weights into the model hub. <|||||>Fantastic, thanks for working on it! Will review today.<|||||>@patrickvonplaten Hi, are there any new comments?<|||||>Hello!

Still some comments:

1. Update the inputs handling in the TF file, we have merged an update for the booleans last Friday. You can see an example in the TF BERT file if you need one.
2. rebase and fix the conflicting files.
3. Fix the check_code_quality test.<|||||>I think something went wrong with the merge here :-/ Could you try to open a new PR that does not include all previous commits or fix this one? <|||||>> I think something went wrong with the merge here :-/ Could you try to open a new PR that does not include all previous commits or fix this one?

OK, it seems something wrong when I update to the latest version. :(<|||||>@patrickvonplaten @JetRunner @sgugger @LysandreJik @jplu The new PR is moved to [https://github.com/huggingface/transformers/pull/8971](https://github.com/huggingface/transformers/pull/8971)