Instructions to use andersoncda77/bella-tavola-sobremesa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use andersoncda77/bella-tavola-sobremesa-v1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("andersoncda77/bella-tavola-sobremesa-v1", "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:
- ee4c2b1ac9dbd9126e2f0157e655f41876feed700641a50ce19d6e71469fde2b
- Size of remote file:
- 1.12 MB
- SHA256:
- 187e73bdcb1bd129c728cd9e7ed1ef4cd66b74bca4b18f8699a9762df3a05fee
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