| <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). |