Instructions to use alirisheh/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use alirisheh/test1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("alirisheh/test1", "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
| { | |
| "model_type": "RandomForestClassifier", | |
| "n_estimators": 100, | |
| "max_depth": 6, | |
| "accuracy": 1.0, | |
| "n_features": 13, | |
| "n_classes": 3, | |
| "class_names": [ | |
| "class_0", | |
| "class_1", | |
| "class_2" | |
| ], | |
| "feature_names": [ | |
| "alcohol", | |
| "malic_acid", | |
| "ash", | |
| "alcalinity_of_ash", | |
| "magnesium", | |
| "total_phenols", | |
| "flavanoids", | |
| "nonflavanoid_phenols", | |
| "proanthocyanins", | |
| "color_intensity", | |
| "hue", | |
| "od280/od315_of_diluted_wines", | |
| "proline" | |
| ] | |
| } |