Time Series Forecasting
Transformers
Safetensors
Timer-S1
time series
time-series
forecasting
foundation models
pretrained models
time series foundation models
custom_code
Instructions to use thuml/Timer-S1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thuml/Timer-S1 with Transformers:
# Load model directly from transformers import Timer-S1 model = Timer-S1.from_pretrained("thuml/Timer-S1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# load pretrain model
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# supports different lookback/forecast lengths
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model = AutoModelForCausalLM.from_pretrained(
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trust_remote_code=True,
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device_map="auto"
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# load pretrain model
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# supports different lookback/forecast lengths
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model = AutoModelForCausalLM.from_pretrained(
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'thuml/Timer-S1',
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trust_remote_code=True,
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device_map="auto"
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)
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