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Time Series Transformer (trained on monash_tsf/tourism-monthly)
Time Series Transformer model trained on the tourism-monthly dataset for 30 epochs.
Model description
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.
Usage
We refer to the documentation regarding usage.
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# Load model directly from transformers import AutoTokenizer, TimeSeriesTransformerForPrediction tokenizer = AutoTokenizer.from_pretrained("huggingface/time-series-transformer-tourism-monthly") model = TimeSeriesTransformerForPrediction.from_pretrained("huggingface/time-series-transformer-tourism-monthly")