Instructions to use JetX-GT/nail-anemia-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use JetX-GT/nail-anemia-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("JetX-GT/nail-anemia-detector", "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": "MLP", | |
| "hidden_layers": [ | |
| 128, | |
| 64 | |
| ], | |
| "optimal_threshold": 0.1, | |
| "expected_accuracy": 0.73, | |
| "expected_recall": 0.9, | |
| "expected_specificity": 0.46, | |
| "expected_f1": 0.808, | |
| "auc": 0.7504, | |
| "n_features": 27, | |
| "training_samples": 3406 | |
| } |