Instructions to use pucpr/biobertpt-bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/biobertpt-bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/biobertpt-bio")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-bio") model = AutoModelForMaskedLM.from_pretrained("pucpr/biobertpt-bio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- biomedical literature from Scielo and Pubmed
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thumbnail: "https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/logo-biobertpr1.png"
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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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datasets:
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thumbnail: "https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/images/logo-biobertpr1.png"
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<img src="https://raw.githubusercontent.com/HAILab-PUCPR/BioBERTpt/master/images/logo-biobertpr1.png" alt="Logo BioBERTpt">
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# BioBERTpt - Portuguese Clinical and Biomedical BERT
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