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meridianal
/
ARA.AI

Scikit-learn
Joblib
finance
trading
time-series
stock-prediction
gradient-boosting
cross-sectional
Model card Files Files and versions
xet
Community

Instructions to use meridianal/ARA.AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use meridianal/ARA.AI with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("meridianal/ARA.AI", "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
ARA.AI / models
4.52 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1754 commits
meridianal's picture
meridianal
Update v8 model - 2026-09-11 00:25:33
d16ccb5 verified about 8 hours ago
  • Meridian.AI_Forex.pt
    1.78 MB
    xet
    Update forex model - 2026-08-08 20:02:44 about 1 month ago
  • Meridian.AI_Stocks.pt
    1.78 MB
    xet
    Update stock model - 2026-08-08 20:35:10 about 1 month ago
  • ara_v8_stocks.joblib

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    961 kB
    xet
    Update v8 model - 2026-09-11 00:25:33 about 8 hours ago
  • ara_v8_stocks.json
    257 Bytes
    Update v8 model - 2026-09-11 00:25:33 about 8 hours ago