This model is a fine-tuned instance of the Autoformer architecture for the Monash Time Series Forecasting Archive's tourism monthly dataset. It uses decomposition transformers with auto-correlation to capture long-range dependencies. The model is open-source and intended for researchers and practitioners working on time-series prediction tasks.
Autoformer Tourism Monthly sits in PulseGate's Other AI category. Accurately forecasting long-term time series data such as monthly tourism arrivals. It is built as an open-source project for developers. Autoformer Tourism Monthly is open source under the Open Source license. Autoformer Tourism Monthly is available on the web and API.
It is developed by Hugging Face, and it first shipped in 2022. Among its 3 catalogued features are Time Series Forecasting, auto-Correlation, and Transformers Compatible. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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