Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

harshiv
/
placementrep

Tabular Regression
Scikit-learn
Model card Files Files and versions
xet
Community

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
placementrep
576 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
harshiv's picture
harshiv
Upload rf_hacathon_prodengg.pkl
7ae8862 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    113 Bytes
    Update README.md about 3 years ago
  • api.py
    2.68 kB
    Update api.py about 3 years ago
  • placement_model.pth
    5.26 kB
    xet
    Upload placement_model.pth about 3 years ago
  • rf_hacathon_fullstk.pkl
    169 kB
    xet
    Upload rf_hacathon_fullstk.pkl about 3 years ago
  • rf_hacathon_mkt.pkl
    191 kB
    xet
    Upload rf_hacathon_mkt.pkl about 3 years ago
  • rf_hacathon_prodengg.pkl
    206 kB
    xet
    Upload rf_hacathon_prodengg.pkl about 3 years ago