Instructions to use KalsusEvening/Melbourne_Housing_Regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use KalsusEvening/Melbourne_Housing_Regression with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("KalsusEvening/Melbourne_Housing_Regression", "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 10_classification_comparison.png from KalsusEvening/Melbourne_Housing_Regression: direct link, hf CLI and curl.
- Browser
- Download file 42.6 kB
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https://huggingface.co/KalsusEvening/Melbourne_Housing_Regression/resolve/main/10_classification_comparison.png
- Command line
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hf download hf://KalsusEvening/Melbourne_Housing_Regression/10_classification_comparison.png
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curl -L -o 10_classification_comparison.png https://huggingface.co/KalsusEvening/Melbourne_Housing_Regression/resolve/main/10_classification_comparison.png
42.6 kB
