metadata

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). It predicts the winner (defended/"Verklagtr" or plaintiff/"Klägerin") 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

Model Card Authors

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

@LennardZuendorf -HGF @LennardZuendorf - Github

Citation

See Dataset for Sources and refer to Github for the collection of all files.