Instructions to use vendorabc/modelhubexample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use vendorabc/modelhubexample with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("vendorabc/modelhubexample", "skops-3voi5107.pkl") ) # 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 skops-3voi5107.pkl from vendorabc/modelhubexample: direct link, hf CLI and curl.
- Browser
- Download file 243 kB
-
https://huggingface.co/vendorabc/modelhubexample/resolve/main/skops-3voi5107.pkl
- Command line
-
hf download hf://vendorabc/modelhubexample/skops-3voi5107.pkl
-
curl -L -o skops-3voi5107.pkl https://huggingface.co/vendorabc/modelhubexample/resolve/main/skops-3voi5107.pkl
243 kB
- Xet hash:
- 2836e3f8201a0463611d068f456e66d2d070f811682576a6ddb8d09da19f677c
- Size of remote file:
- 243 kB
- SHA256:
- cabe955e69f715742849ab49fddfac2899d674db0802608d66b1d61d9016c718
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.