Instructions to use damlab/HIV_V3_Coreceptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damlab/HIV_V3_Coreceptor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="damlab/HIV_V3_Coreceptor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("damlab/HIV_V3_Coreceptor") model = AutoModelForSequenceClassification.from_pretrained("damlab/HIV_V3_Coreceptor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add tokenizer
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Merge branch 'main' of https://huggingface.co/damlab/HIV_V3_Coreceptor
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Update README.md
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Update README.md
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Adding V3 examples
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add model
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Update README.md
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initial commit
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