Instructions to use abhijith-sriram/DevOps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use abhijith-sriram/DevOps with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("abhijith-sriram/DevOps", "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 abhijith-sriram/DevOps: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
-
https://huggingface.co/abhijith-sriram/DevOps/resolve/main/features.json
- Command line
-
hf download hf://abhijith-sriram/DevOps/features.json
-
curl -L -o features.json https://huggingface.co/abhijith-sriram/DevOps/resolve/main/features.json
97 Bytes
| ["crim", "zn", "indus", "chas", "nox", "rm", "age", "dis", "rad", "tax", "ptratio", "b", "lstat"] |