Instructions to use getachewgetu/stunting-risk-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use getachewgetu/stunting-risk-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("getachewgetu/stunting-risk-model", "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
Upload model_registry.json with huggingface_hub
Browse files- model_registry.json +9 -0
model_registry.json
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[
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{
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"version_tag": "20260422_161027",
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"model_type": "LogisticRegression",
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"test_auc_roc": 0.9688888888888889,
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"timestamp": "2026-04-22T13:10:27.552240+00:00",
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"artifact_path": "stunting_risk_backend/models/risk_model_20260422_161027.pkl"
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}
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]
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