Instructions to use wlaminack/testingmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use wlaminack/testingmodel with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("wlaminack/testingmodel", "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:
- 28ea2361308b28081be1e1710d471447d859ab63cc71b1cbe70b4c7bd3770471
- Size of remote file:
- 187 kB
- SHA256:
- f163e61594190915171651609102ecf30a4dfa23a140f6d28cfa8f06dbda6952
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