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@@ -44,4 +44,8 @@ from transformers import AutoModel # or BertModel, for BERT without pretraining
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  model = AutoModelForPreTraining.from_pretrained('raquelsilveira/legalbertpt_sc')
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  tokenizer = AutoTokenizer.from_pretrained('raquelsilveira/legalbertpt_sc')
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- ```
 
 
 
 
 
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  model = AutoModelForPreTraining.from_pretrained('raquelsilveira/legalbertpt_sc')
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  tokenizer = AutoTokenizer.from_pretrained('raquelsilveira/legalbertpt_sc')
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+ ```
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+
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+ ## Cite as
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+ Raquel Silveira, Caio Ponte, Vitor Almeida, Vládia Pinheiro, and Vasco Furtado. 2023. LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain. In Intelligent Systems: 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25–29, 2023, Proceedings, Part III. Springer-Verlag, Berlin, Heidelberg, 268–282. https://doi.org/10.1007/978-3-031-45392-2_18