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  TITLE
  pip install transformers by default install 2.5.1
  
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  ## Environment info
  <!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
       Don't forget to fill out the missing fields in that output! -->
       
  
  https://huggingface.co/transformers/installation.html
  
  Running '''pip install transformers''' by default installs 2.5.1
  Could you also specify TensorFlow CPU or GPU version should be installed
  
  - `transformers` version:
  - Platform:
  - Python version: 3.7.4
  - PyTorch version (GPU?): yes
  - Tensorflow version (GPU?): 2.2.0
  - Using GPU in script?: yes
  - Using distributed or parallel set-up in script?: 
  
  ### Who can help
  <!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
   If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
   Please tag fewer than 3 people.
   
   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: @mariamabarham
   Bart: @sshleifer
   Marian: @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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  ## Information
  
  Model I am using (Bert, XLNet ...):
  
  The problem arises when using:
  * [ ] the official example scripts: (give details below)
  * [ ] my own modified scripts: (give details below)
  
  The tasks I am working on is:
  * [ ] an official GLUE/SQUaD task: (give the name)
  * [ ] my own task or dataset: (give details below)
  
  ## To reproduce
  
  Steps to reproduce the behavior:
  
  1.
  2.
  3.
  
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  ## Expected behavior
  
  <!-- A clear and concise description of what you would expect to happen. -->
  