Monash-University/monash_tsf
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How to use huggingface/time-series-transformer-tourism-monthly with Transformers:
# 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")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.