Instructions to use damlab/HIV_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damlab/HIV_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="damlab/HIV_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("damlab/HIV_BERT") model = AutoModelForMaskedLM.from_pretrained("damlab/HIV_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding examples
Browse files
README.md
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license: mit
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# HIV-BERT model
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# HIV-BERT model
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