Instructions to use readerbench/jurBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/jurBERT-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("readerbench/jurBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 191c00e
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README.md
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@@ -103,10 +103,11 @@ For complete results and discussion please refer to the [paper](TODO).
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### BibTeX entry and citation info
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```bibtex
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@inproceedings{
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title={jurBERT: A Romanian BERT Model for Legal Judgement Prediction},
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author={Masala, Mihai and Iacob, Radu and Uban, Ana and Cidota, Marina and Velicu, Horia and Rebedea, Traian and Popescu, Marius},
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booktitle={
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year={2021}
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}
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```
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### BibTeX entry and citation info
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```bibtex
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@inproceedings{masala2021jurbert,
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title={jurBERT: A Romanian BERT Model for Legal Judgement Prediction},
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author={Masala, Mihai and Iacob, Radu Cristian Alexandru and Uban, Ana Sabina and Cidota, Marina and Velicu, Horia and Rebedea, Traian and Popescu, Marius},
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booktitle={Proceedings of the Natural Legal Language Processing Workshop 2021},
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pages={86--94},
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year={2021}
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}
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```
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