How to use:

>>> from transformers import AutoTokenizer, AutoModelForMaskedLM
>>> tokenizer = AutoTokenizer.from_pretrained("mynoguti/BERTimbau_Legal")
>>> model = AutoModelForMaskedLM.from_pretrained("mynoguti/BERTimbau_Legal")

Citation:

@inproceedings{Noguti_2023,
   title={A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets},
   url={http://dx.doi.org/10.1109/SMC53992.2023.10394189},
   DOI={10.1109/smc53992.2023.10394189},
   booktitle={2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
   publisher={IEEE},
   author={Noguti, Mariana and Vellasques, Eduardo and Oliveira, Luiz S.},
   year={2023},
   month=oct, pages={1840–1845} }

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