Tabular Classification
Scikit-learn
Joblib
phishing-detection
url-classification
binary-classification
phiusiil
knn
scikit-learn
Eval Results (legacy)
Instructions to use feti-ai/fetiai-v1-phiusiil-binclf-knn-skl-500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use feti-ai/fetiai-v1-phiusiil-binclf-knn-skl-500k with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("feti-ai/fetiai-v1-phiusiil-binclf-knn-skl-500k", "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
chore: drop logo assets the model card no longer references
Browse filesThey were copied before the stack list was narrowed and outlived it, so
the repository ships files that nothing points at.
.github/assets/logos/jupyter.svg
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.github/assets/logos/numpy.svg
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.github/assets/logos/pandas.svg
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.github/assets/logos/streamlit.svg
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