Instructions to use Amusa/private1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Amusa/private1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Amusa/private1", "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:
- 752495bea842baabe190c4cace84ab0e95d343446e257c66e05077c836b77a02
- Size of remote file:
- 96.6 kB
- SHA256:
- 0c1bb36736e54486526aed041ab698a9131ebd8b48cb4e05e39f2159ba144c08
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