Instructions to use damlab/HIV_PR_resist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damlab/HIV_PR_resist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="damlab/HIV_PR_resist")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("damlab/HIV_PR_resist") model = AutoModelForSequenceClassification.from_pretrained("damlab/HIV_PR_resist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Librarian Bot: Update dataset YAML metadata for model
This is a pull request to add a dataset, [`damlab/HIV_PI`](https://huggingface.co/datasets/damlab/HIV_PI), to the metadata for your model (defined in the `YAML` block of your model's `README.md`). The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata. If this suggestion is incorrect, feel free to close this pull request. Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.cefa326
-
add tokenizer
cc42f68 -
add model
3f68de6 -
Update README.md
9dcaf58 -
Update README.md
17f387b -
Update README.md
aff5251
-
Update README.md
314af26 -
Update README.md
44f2895 -
Update README.md
fe05a47
-
Update README.md
19d0a50 -
initial commit
40dd3e0