Instructions to use sidSircar2103/air_quality_svc_with_poly_kernel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sidSircar2103/air_quality_svc_with_poly_kernel with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sidSircar2103/air_quality_svc_with_poly_kernel", "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 svc_with_poly_kernel.pkl from sidSircar2103/air_quality_svc_with_poly_kernel: direct link, hf CLI and curl.
- Browser
- Download file 47.4 kB
-
https://huggingface.co/sidSircar2103/air_quality_svc_with_poly_kernel/resolve/main/svc_with_poly_kernel.pkl
- Command line
-
hf download hf://sidSircar2103/air_quality_svc_with_poly_kernel/svc_with_poly_kernel.pkl
-
curl -L -o svc_with_poly_kernel.pkl https://huggingface.co/sidSircar2103/air_quality_svc_with_poly_kernel/resolve/main/svc_with_poly_kernel.pkl
47.4 kB
- Xet hash:
- e2c57c58232b0928422e2b579bb20de7472097ab8cce5cd57cf1d31da049aebd
- Size of remote file:
- 47.4 kB
- SHA256:
- 81ba0c0ee1113b5fa4a886a6950c8af6d29ec729a7b37afe2f6805be1cd82a01
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