Instructions to use kevinkyi/Homework2_Classical_ML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kevinkyi/Homework2_Classical_ML with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kevinkyi/Homework2_Classical_ML", "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
Add autogluon_predictor.pkl
Browse files- autogluon_predictor.pkl +3 -0
autogluon_predictor.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:15bcd06912fc40043e6b55d8444a15797700af7e5943d26be86816b618312c5d
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size 80361
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