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---
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))
```
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