Instructions to use vendorabc/modeltest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use vendorabc/modeltest with Scikit-learn:
from skops.hub_utils import download from skops.io import load download("vendorabc/modeltest", "path_to_folder") # make sure model file is in skops format # if model is a pickle file, make sure it's from a source you trust model = load("path_to_folder/skops-v5dfi0sh.pkl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c15c48fd2c940e1e588e378c1847fb4170962c3b26d39d8d147529fd2a5193a
- Size of remote file:
- 243 kB
- SHA256:
- 1967cade2d54b4ab0784741d8015566e9923a0042c4592a602c0ac271a26775c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.