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+ <img src="https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/logo-biobertpr1.png" alt="Logo BioBERTpt">
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+ # BioBERTpt - Portuguese Clinical and Biomedical BERT
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+ The [BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition](https://www.aclweb.org/anthology/2020.clinicalnlp-1.7/) paper contains clinical and biomedical BERT-based models for Portuguese Language, initialized with BERT-Multilingual-Cased & trained on clinical notes and biomedical literature.
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+ This model card describes the BioBERTpt(bio) model, a biomedical version of BioBERTpt, trained on Portuguese biomedical literature from scientific papers from Pubmed and Scielo.
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+ ## How to use the model
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+ Load the model via the transformers library:
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+ ```
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+ from transformers import AutoTokenizer, AutoModel
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+ tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-bio")
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+ model = AutoModel.from_pretrained("pucpr/biobertpt-bio")
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+ ```
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+ ## More Information
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+ Refer to the original paper, [BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition](https://www.aclweb.org/anthology/2020.clinicalnlp-1.7/) for additional details and performance on Portuguese NER tasks.
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+ ## Questions?
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+ Post a Github issue on the [BioBERTpt repo](https://github.com/HAILab-PUCPR/BioBERTpt).