<img src="https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/logo-biobertpr1.png" alt="Logo BioBERTpt"> | |
# BioBERTpt - Portuguese Clinical and Biomedical BERT | |
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. | |
This model card describes the BioBERTpt(all) model, a full version with clinical narratives and biomedical literature in Portuguese language. | |
## How to use the model | |
Load the model via the transformers library: | |
``` | |
from transformers import AutoTokenizer, AutoModel | |
tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-all") | |
model = AutoModel.from_pretrained("pucpr/biobertpt-all") | |
``` | |
## More Information | |
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. | |
## Questions? | |
Post a Github issue on the [BioBERTpt repo](https://github.com/HAILab-PUCPR/BioBERTpt). |