Instructions to use adarshcod30/margadrishti-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use adarshcod30/margadrishti-models with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("adarshcod30/margadrishti-models", "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
| { | |
| "surfaces_mb": 3.155, | |
| "models": [ | |
| { | |
| "name": "b1_clearance_duration", | |
| "size_mb": 3.181, | |
| "max_abs_diff": 1.0359972186790856e-06, | |
| "verified": true | |
| }, | |
| { | |
| "name": "b2_road_closure", | |
| "size_mb": 3.742, | |
| "max_abs_diff": 0.0, | |
| "verified": true | |
| } | |
| ], | |
| "models_mb": 6.923, | |
| "total_mb": 10.078 | |
| } |