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
bella-tavola-sobremesa-v1
Modelo de classificação binária treinado para prever se o cliente vai pedir sobremesa no restaurante Bella Tavola.
Desenvolvido como parte do curso de MLOps (Bloco 4).
Como usar
from huggingface_hub import hf_hub_download
import joblib
model = joblib.load(
hf_hub_download("andersoncda77/bella-tavola-sobremesa-v1", "model.pkl")
)
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