Instructions to use harshiv/placementrep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use harshiv/placementrep with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("harshiv/placementrep", "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 rf_hacathon_fullstk.pkl
Browse files- rf_hacathon_fullstk.pkl +3 -0
rf_hacathon_fullstk.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2720de2a87c78f35c8d6c05d12ec3ec759be61786245c389d101d8703cd96959
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size 168892
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