Instructions to use Zipeng365/WISP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Zipeng365/WISP with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Zipeng365/WISP", "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 src/wisp/utils/__init__.py from Zipeng365/WISP: direct link, hf CLI and curl.
- Browser
- Download file 1 Bytes
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https://huggingface.co/Zipeng365/WISP/resolve/main/src/wisp/utils/__init__.py
- Command line
-
hf download hf://Zipeng365/WISP/src/wisp/utils/__init__.py
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curl -L -o __init__.py https://huggingface.co/Zipeng365/WISP/resolve/main/src/wisp/utils/__init__.py
1 Bytes