Instructions to use MathisKhan/mlops-versioning-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use MathisKhan/mlops-versioning-demo with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("MathisKhan/mlops-versioning-demo", "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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Version 2: regularisation plus forte (C=0.1)
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Upload model.joblib with huggingface_hub
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Version 1: LogisticRegression baseline (C=1.0)
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Upload model.joblib with huggingface_hub
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initial commit
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