Instructions to use harshiv/placement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use harshiv/placement with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("harshiv/placement", "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 placement_model.pth
Browse files- placement_model.pth +3 -0
placement_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:81912a68bcadb56a97fa208ce1ac37b4f8ac45fb289d40955eedc3cd65acfb4d
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size 5263
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