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
- Xet hash:
- c38d49a70a8c88b500f80394404d87f8b5b61df1aefcf6614268a95c5254699e
- Size of remote file:
- 450 kB
- SHA256:
- 395ea853dd58690317db4fabbcc2bc499c5e115b7bcdeac2e9af4dbbec0be293
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