Tabular Regression
Scikit-learn
Joblib
energy-consumption
regression
random-forest
xgboost
building-energy
sustainability
carbon-footprint
Instructions to use codealchemist01/ecologia-electricity-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use codealchemist01/ecologia-electricity-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("codealchemist01/ecologia-electricity-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
- Xet hash:
- bff1bcb5697609a5312ee23faf3d37c1c138225c59595593946116d05c84b21f
- Size of remote file:
- 6.38 GB
- SHA256:
- 18869f508e6f3dcc46db8ca1900e47f05dcceb01dcd0225820ab3ecd8e05c4a5
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