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--- |
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license: mit |
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datasets: |
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- LennardZuendorf/legalis |
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language: |
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- de |
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metrics: |
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- accuracy |
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library_name: transformers |
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tags: |
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- legal |
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--- |
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# Model description |
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This is a BERT classifiert, 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). |
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## Intended uses & limitations |
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- This model was created as part of a university project and should be considered highly experimental. |
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## get started with the model |
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Try out the hosted Interference UI or the [Huggingface Space](https://huggingface.co/spaces/LennardZuendorf/legalis) |
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# Model Card Authors |
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This model card and the model itself are written by following authors: |
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[@LennardZuendorf -HGF](https://huggingface.co/LennardZuendorf) |
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[@LennardZuendorf - Github](https://github.com/LennardZuendorf) |
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# Citation |
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See Dataset for Sources and refer to [Github](https://github.com/LennardZuendorf/uniArchive-legalis) for collection of all files. |
