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csoai
/
meok-process-world-v0

Tabular Regression
Scikit-learn
English
world-model
Synthetic
experimental
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use csoai/meok-process-world-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use csoai/meok-process-world-v0 with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("csoai/meok-process-world-v0", "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
meok-process-world-v0
50 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Nicholastempleman's picture
Nicholastempleman
Publish pinned MEOK synthetic process-model experiment
90d6aa6 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    1.08 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • NOTICE
    198 Bytes
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • README.md
    4.27 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • SHA256SUMS.json
    779 Bytes
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • SOURCE.json
    349 Bytes
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • inference-replay.json
    424 Bytes
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • predict.py
    3.43 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • train_world.py
    9.06 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • training-report.json
    7.38 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago
  • weights.json
    21.5 kB
    Publish pinned MEOK synthetic process-model experiment 2 days ago