Instructions to use Radhakris55/boston-random-forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Radhakris55/boston-random-forest with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Radhakris55/boston-random-forest", "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
- Xet hash:
- 986c50f844b46c413eccda469fbb98af3ca3e9682dbe85308d0124a20180e467
- Size of remote file:
- 718 kB
- SHA256:
- 01b843d59145facc4e645056de3a37bbf6410ff71bd0648a5391eedfbca29fe0
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