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legalis-BERT
LennardZuendorf/legalis-BERT
legalis-BERT is a text classification model from LennardZuendorf. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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…
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Model card
From the Hugging Face model README
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.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- de
- Created
- Jun 26, 2023
- Updated
- Oct 15, 2023