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--- |
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license: unknown |
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language: |
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- pt |
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tags: |
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- legal |
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--- |
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**How to use:** |
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```python |
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>>> from transformers import AutoTokenizer, AutoModelForMaskedLM |
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>>> tokenizer = AutoTokenizer.from_pretrained("mynoguti/BERTimbau_Legal") |
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>>> model = AutoModelForMaskedLM.from_pretrained("mynoguti/BERTimbau_Legal") |
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``` |
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**Citation:** |
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``` |
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@inproceedings{Noguti_2023, |
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title={A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets}, |
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url={http://dx.doi.org/10.1109/SMC53992.2023.10394189}, |
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DOI={10.1109/smc53992.2023.10394189}, |
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booktitle={2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, |
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publisher={IEEE}, |
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author={Noguti, Mariana and Vellasques, Eduardo and Oliveira, Luiz S.}, |
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year={2023}, |
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month=oct, pages={1840–1845} } |
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``` |
