metadata
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.
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:
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))