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Timer-S1

Time Series Forecasting
Transformers
Safetensors
Timer-S1
time series
time-series
forecasting
foundation models
pretrained models
time series foundation models
custom_code
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Update README.md

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@@ -76,7 +76,7 @@ batch_size, lookback_length = 64, 11520
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  seqs = torch.randn(batch_size, lookback_length).to(model.device)
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  # Note that Timer-S1 generates predictions at fixed quantile levels
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- forecast_length = 720
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  output = model.generate(seqs, max_new_tokens=forecast_length, revin=True)
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  seqs = torch.randn(batch_size, lookback_length).to(model.device)
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  # Note that Timer-S1 generates predictions at fixed quantile levels
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+ forecast_length = 256
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  output = model.generate(seqs, max_new_tokens=forecast_length, revin=True)
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