Time Series Transformer model trained on the tourism-monthly dataset for 30 epochs.

The Time Series Transformer is a vanilla encoder-decoder Transformer for time-series forecasting. The model is trained in the same way as one trains a Transformer for machine translation. At inference time, the model autoregressively generates samples, one time step at a time.

We refer to the documentation regarding usage.