Instructions to use VIMALRAJMVR/CI-CD_MLOps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use VIMALRAJMVR/CI-CD_MLOps with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("VIMALRAJMVR/CI-CD_MLOps", "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
Download features.json from VIMALRAJMVR/CI-CD_MLOps: direct link, hf CLI and curl.
- Browser
- Download file 98 Bytes
-
https://huggingface.co/VIMALRAJMVR/CI-CD_MLOps/resolve/main/features.json
- Command line
-
hf download hf://VIMALRAJMVR/CI-CD_MLOps/features.json
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curl -L -o features.json https://huggingface.co/VIMALRAJMVR/CI-CD_MLOps/resolve/main/features.json
98 Bytes
| ["MedInc", "HouseAge", "AveRooms", "AveBedrms", "Population", "AveOccup", "Latitude", "Longitude"] |