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kyLELEng
/
patchtst-cross-sectional-return-forecast

Transformers
Safetensors
patchtst
time-series
forecasting
finance
probabilistic-forecasting
Model card Files Files and versions
xet
Community

Instructions to use kyLELEng/patchtst-cross-sectional-return-forecast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kyLELEng/patchtst-cross-sectional-return-forecast with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, PatchTSTForPrediction
    
    tokenizer = AutoTokenizer.from_pretrained("kyLELEng/patchtst-cross-sectional-return-forecast")
    model = PatchTSTForPrediction.from_pretrained("kyLELEng/patchtst-cross-sectional-return-forecast")
  • Notebooks
  • Google Colab
  • Kaggle
patchtst-cross-sectional-return-forecast
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  • 1 contributor
History: 22 commits
kyLE_LEng
Train PatchTST cross-sectional return forecaster
74f15a2 verified 10 days ago
  • checkpoints
    Checkpoint epoch 20 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    1.89 kB
    Train PatchTST cross-sectional return forecaster 10 days ago
  • config.json
    1.16 kB
    Train PatchTST cross-sectional return forecaster 10 days ago
  • metrics.json
    1.07 kB
    Train PatchTST cross-sectional return forecaster 10 days ago
  • model.safetensors
    3.33 MB
    xet
    Train PatchTST cross-sectional return forecaster 10 days ago
  • selected_tickers.json
    188 Bytes
    Train PatchTST cross-sectional return forecaster 10 days ago
  • training_config.json
    1.2 kB
    Train PatchTST cross-sectional return forecaster 10 days ago
  • training_history.json
    7.51 kB
    Train PatchTST cross-sectional return forecaster 10 days ago