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  # What does this PR do?
  
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  Fixes # (issue)
  
  
  ## Before submitting
  - [ ] This PR fixes a typo or improves the docs (you can dimiss the other checks if that's the case).
  - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests), 
        Pull Request section?
  - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
        to the it if that's the case.
  - [ ] Did you make sure to update the documentation with your changes? Here are the
        [documentation guidelines](https://github.com/huggingface/transformers/tree/master/docs), and
        [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/master/docs#writing-source-documentation).
  - [ ] Did you write any new necessary tests? 
  
  
  ## Who can review?
  
  Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
  members/contributors which may be interested in your PR.
  
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   albert, bert, GPT2, XLM: @LysandreJik 
   tokenizers: @mfuntowicz
   Trainer: @sgugger
   Speed and Memory Benchmarks: @patrickvonplaten
   Model Cards: @julien-c
   Translation: @sshleifer
   Summarization: @sshleifer
   TextGeneration: @TevenLeScao 
   examples/distillation: @VictorSanh
   nlp datasets: [different repo](https://github.com/huggingface/nlp)
   rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
   Text Generation: @TevenLeScao
   Blenderbot, Bart, Marian, Pegasus: @sshleifer
   T5: @patrickvonplaten
   Longformer/Reformer: @patrickvonplaten
   TransfoXL/XLNet: @TevenLeScao 
   examples/seq2seq: @sshleifer
   examples/bert-loses-patience: @JetRunner
   tensorflow: @jplu
   examples/token-classification: @stefan-it
   documentation: @sgugger
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