thuml
/

timer-base-84m

Time Series Forecasting

foundation models

pretrained models

time series foundation models

Model card Files Files and versions

Yong99 commited on Dec 18, 2024

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0b4e50a

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1 Parent(s): 788bc4b

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@@ -47,7 +47,7 @@ normed_seqs = (seqs - mean) / std
 # generate forecast
 prediction_length = 96
-normed_output = model.generate(normed_seqs, max_new_tokens=prediction_length)[:, -prediction_length:]
 output = std * normed_output + mean # rescale the output to the original scale
 print(output.shape)

 # generate forecast
 prediction_length = 96
+normed_output = model.generate(normed_seqs, max_new_tokens=prediction_length)
 output = std * normed_output + mean # rescale the output to the original scale
 print(output.shape)