Tabular Regression
Scikit-learn
Joblib
energy-consumption
regression
random-forest
xgboost
building-energy
sustainability
carbon-footprint
Instructions to use codealchemist01/ecologia-gas-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use codealchemist01/ecologia-gas-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("codealchemist01/ecologia-gas-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 gas_features.joblib with huggingface_hub
Browse files- gas_features.joblib +3 -0
gas_features.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:432d69a21404d1ed23126146be6a8a4641f0c7532280475a9f140824bcbbea91
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size 274
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