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tbukuai
/
stock-patchtst-sp500

Time Series Forecasting
Transformers
Safetensors
English
patchtst
time-series
stock-prediction
finance
quantitative
wavelet-denoising
Model card Files Files and versions
xet
Community

Instructions to use tbukuai/stock-patchtst-sp500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tbukuai/stock-patchtst-sp500 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, PatchTSTForPrediction
    
    tokenizer = AutoTokenizer.from_pretrained("tbukuai/stock-patchtst-sp500")
    model = PatchTSTForPrediction.from_pretrained("tbukuai/stock-patchtst-sp500", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stock-patchtst-sp500
2.42 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
tbukuai's picture
tbukuai
main: update to v3 model (best)
1fe9204 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    2.16 kB
    Update main: v3 is best model, add version branches guide 4 months ago
  • config.json
    1.18 kB
    main: update to v3 model (best) 4 months ago
  • metrics.json
    364 Bytes
    Update metrics on main to v3 values" 4 months ago
  • model.safetensors
    2.42 MB
    xet
    main: update to v3 model (best) 4 months ago
  • scaler.pkl

    Detected Pickle imports (4)

    • "sklearn.preprocessing._data.MinMaxScaler",
    • "numpy.dtype",
    • "numpy._core.multiarray._reconstruct",
    • "numpy.ndarray"

    How to fix it?

    1 kB
    xet
    main: update to v3 model (best) 4 months ago