Instructions to use Project-5190/ensemble-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Project-5190/ensemble-pipeline with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Project-5190/ensemble-pipeline", "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
Upload pipeline_model.joblib with huggingface_hub
Browse files- pipeline_model.joblib +3 -0
pipeline_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:29e55ee6d6c51500c577761a9310c62ccdec32da1a2e59fdef6aba991e9c6c73
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size 381869
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