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bytedance-research
/
Timer-S1

Time Series Forecasting
Transformers
Safetensors
Timer-S1
time series
time-series
forecasting
foundation models
pretrained models
time series foundation models
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use bytedance-research/Timer-S1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bytedance-research/Timer-S1 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("bytedance-research/Timer-S1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

"Excels particularly at medium-term and long-term" is a horizon-specific claim — a forward record can test it per horizon

#2 opened 17 days ago by
kopei
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