readme: ---
  language:
  - en
  license: mit
  widget:
  - text: "lets do a comparsion"
    example_title: "1"
  - text: "Their going to be here so0n"
    example_title: "2"
  - text: "ze shop is cloed due to covid 19"
    example_title: "3"
  metrics:
  - cer
  ---
  
  This is an experimental model that should fix your typos and punctuation.
  If you like to run your own experiments or train for a different language, have a look at [the code](https://github.com/oliverguhr/spelling).
  
  
  ## Model description
  
  This is a proof of concept spelling correction model for English.
  
  ## Intended uses & limitations
  
  This project is work in progress, be aware that the model can produce artefacts. 
  You can test the model using the pipeline-interface:
  
  ```python
  from transformers import pipeline
  
  fix_spelling = pipeline("text2text-generation",model="oliverguhr/spelling-correction-english-base")
  
  print(fix_spelling("lets do a comparsion",max_length=2048))
  ```
  