pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-base-spelling-de
  results: []
widget:
- text: "das idst ein neuZr test"
  example_title: "1"
---

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 german.

## Intended uses & limitations

This is a 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-german-base")

print(fix_spelling("das idst ein neuZr test",max_length=2048))
```

