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
File size: 402 Bytes
55151a3 e3e50ad 55151a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # Model Cards
One card per target, generated from `reports/` so they cannot drift from what was measured. Every family appears, including the ones that lost.
| Target | Families | Card |
|---|---:|---|
| A1 | 17 | [A1.md](A1.md) |
| A2 | 9 | [A2.md](A2.md) |
| A3 | 9 | [A3.md](A3.md) |
| B1 | 13 | [B1.md](B1.md) |
| B2 | 8 | [B2.md](B2.md) |
| B3 | 8 | [B3.md](B3.md) |
| B4 | 2 | [B4.md](B4.md) |
|