  'token': 3944,
  'token_str': ' tool'},
 {'score': 0.1135,
  'sequence': 'HuggingFace is creating a framework that the community uses to '
              'solve NLP tasks.',
  'token': 7208,
  'token_str': ' framework'},
 {'score': 0.0524,
  'sequence': 'HuggingFace is creating a library that the community uses to '
              'solve NLP tasks.',
  'token': 5560,
  'token_str': ' library'},
 {'score': 0.0349,
  'sequence': 'HuggingFace is creating a database that the community uses to '
              'solve NLP tasks.',
  'token': 8503,
  'token_str': ' database'},
 {'score': 0.0286,
  'sequence': 'HuggingFace is creating a prototype that the community uses to '
              'solve NLP tasks.',
  'token': 17715,
  'token_str': ' prototype'}]
```
Here is an example of doing masked language modeling using a model and a tokenizer. The process is the following:
