Instructions to use sandhyaaaaaaaaa/mlops-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sandhyaaaaaaaaa/mlops-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("sandhyaaaaaaaaa/mlops-model", "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
| tags: [sklearn, random-forest, mlops-pipeline] | |
| # Model | |
| Trained automatically via GitHub Actions CI/CD. Data and pipeline versioned with DVC. | |
| ## Metrics | |
| - **accuracy**: 0.9474 | |
| - **precision**: 0.9583 | |
| - **recall**: 0.9583 | |
| - **f1**: 0.9583 |