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
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Download README.md from sidSircar2103/air_quality_svc_with_poly_kernel: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
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https://huggingface.co/sidSircar2103/air_quality_svc_with_poly_kernel/resolve/main/README.md
- Command line
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hf download hf://sidSircar2103/air_quality_svc_with_poly_kernel/README.md
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curl -L -o README.md https://huggingface.co/sidSircar2103/air_quality_svc_with_poly_kernel/resolve/main/README.md
133 Bytes
| datasets: | |
| - sidSircar2103/kaggle_air_quality_dataset | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| library_name: sklearn | |
| tags: | |
| - climate | |