Instructions to use prompt-armor/l5-negative-selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use prompt-armor/l5-negative-selection with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("prompt-armor/l5-negative-selection", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Commit History
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feat: retrain L5 with 15 features, fix score normalization (v0.7.0)
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Upload README.md with huggingface_hub
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Upload l5_negative_selection.pkl with huggingface_hub
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initial commit
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