---
license: mit
datasets:
- LennardZuendorf/legalis
language:
- de
metrics:
- accuracy
library_name: transformers
tags:
- legal
---

# Model description

This is a BERT classifier, trained on a processed dataset of 2800 German court cases (see [legalis dataset](https://huggingface.co/datasets/LennardZuendorf/legalis)). It predicts the winner (defended/"Verklagt*r" or plaintiff/"Kläger*in") of a court case based on facts provided (in German).

## Intended uses & limitations

- This model was created as part of a university project and should be considered highly experimental.

## get started with the model

Try out the hosted Interference UI or the [Huggingface Space](https://huggingface.co/spaces/LennardZuendorf/legalis)

# Model Card Authors

This model card and the model itself are written by following authors:

[@LennardZuendorf -HGF](https://huggingface.co/LennardZuendorf)
[@LennardZuendorf - Github](https://github.com/LennardZuendorf)

# Citation

See Dataset for Sources and refer to [Github](https://github.com/LennardZuendorf/uniArchive-legalis) for the collection of all files.