text: 
  
  TITLE
  Can't make sense of encoding for a downloadable AutoTokenizer
  
  COMMENTS
  1
  
  REACTIONS
  +1: 0
  -1: 0
  laugh: 0
  hooray: 0
  heart: 0
  rocket: 0
  eyes: 0
  
  BODY
  ## 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! -->
  
  - `transformers` version: 4.2.2
  
  ### Who can help
  
  Probably @n1t0 or @LysandreJik (AutoTokenizer)
  
  ## To reproduce
  
  Steps to reproduce the behavior:
  
  1. Boot up an AutoTokenizer using `AutoTokenizer.from_pretrained("sberbank-ai/rugpt3small_based_on_gpt2")`
  2. Execute `tokenizer.get_vocab()`
  
  The vocabulary contains gibberish instead of Russian tokens (yet the model works fine):
  
  ![image](https://user-images.githubusercontent.com/31738272/106778421-03fc8200-6657-11eb-8f24-48daad35ff16.png)
  
  How do I decode and read the actual tokens?