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---
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. |