Instructions to use damlab/HIV_V3_bodysite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damlab/HIV_V3_bodysite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="damlab/HIV_V3_bodysite")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("damlab/HIV_V3_bodysite") model = AutoModelForSequenceClassification.from_pretrained("damlab/HIV_V3_bodysite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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fixing yaml
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adjusting after merge
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Merge branch 'main' of https://huggingface.co/damlab/HIV_V3_bodysite
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adding examples to readmes
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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add tokenizer
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Adding V3 examples
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Moving the tags
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Update README.md
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add model
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Update README.md
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initial commit
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