BioBERTpt - Portuguese Clinical and Biomedical BERT
The BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition paper contains clinical and biomedical BERT-based models for Portuguese Language, initialized with BERT-Multilingual-Cased & trained on clinical notes and biomedical literature.
This model card describes the BioBERTpt(clin) model, a clinical version of BioBERTpt, trained on clinical narratives from electronic health records from Brazilian Hospitals.
How to use the model
Load the model via the transformers library:
from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-clin") model = AutoModel.from_pretrained("pucpr/biobertpt-clin")
Refer to the original paper, BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition for additional details and performance on Portuguese NER tasks.
Post a Github issue on the BioBERTpt repo.
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