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
Download features.json from Radhakris55/boston-random-forest: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
-
https://huggingface.co/Radhakris55/boston-random-forest/resolve/main/features.json
- Command line
-
hf download hf://Radhakris55/boston-random-forest/features.json
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curl -L -o features.json https://huggingface.co/Radhakris55/boston-random-forest/resolve/main/features.json
97 Bytes
| ["CRIM", "ZN", "INDUS", "CHAS", "NOX", "RM", "AGE", "DIS", "RAD", "TAX", "PTRATIO", "B", "LSTAT"] |