Instructions to use nateraw/iris-svc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nateraw/iris-svc with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nateraw/iris-svc", "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:
- 2aa369267851dffbb2728f6563089b31a418662f41f11b2e35020d8d65ed7284
- Size of remote file:
- 1.63 kB
- SHA256:
- 063178bab59455eb71145969ac0758c0dcbced0673b0482099ae3e5310fb9307
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