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
File size: 321 Bytes
80b01cc | 1 2 3 4 5 6 7 8 9 | """Small release interfaces for WISP; importing this package performs no work."""
from .checkpoints import load_checkpoint, predict_checkpoint
from .methods import list_methods
from .selection import fit_selector
__all__ = ["load_checkpoint", "predict_checkpoint", "list_methods", "fit_selector"]
__version__ = "0.1.0"
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