Instructions to use MuhammadSaad1234/wine-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use MuhammadSaad1234/wine-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("MuhammadSaad1234/wine-classifier", "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
File size: 526 Bytes
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python_function:
env:
conda: conda.yaml
virtualenv: python_env.yaml
loader_module: mlflow.sklearn
model_path: model.pkl
predict_fn: predict
python_version: 3.11.15
sklearn:
code: null
pickled_model: model.pkl
serialization_format: cloudpickle
sklearn_version: 1.8.0
skops_trusted_types: null
mlflow_version: 3.10.1
model_id: null
model_size_bytes: 196605
model_uuid: 9d0f3566feef4e00881fd23dab663a91
prompts: null
utc_time_created: '2026-04-06 15:01:48.813192'
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