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Description
Describe the feature request
Dear @martinloretzzz and NXAI team,
Thank you for your work on TiRex. I am truly impressed by its performance on GIFT-EVAL and fev. For the past few months, I've been a key contributor to Darts, a popular time series library, and so far provided latest foundation models such as Chronos-2 and TimesFM 2.5 under sklearn-like forecasting APIs.
Naturally, it would be remiss of us to not include TiRex in Darts considering its strong performance and efficiency. Therefore, would you be open to contributing a TiRex model implementation in Darts? I am happy to assist best I can or co-author a PR should you prefer.
In terms of technicality, Darts offers two ways of implementing foundation models and you are free to chose either of them:
GlobalForecastingModelwhich is a base class to interface external libraries such astirex-ts.FoundationModelwhich is a base class to allow a PyTorch-native implementation and usesHuggingFaceConnectorto load model weights from HuggingFace Hub, same way astirex-tsdoes.
Let me know what you think of the proposal. Thank you and your team for open-sourcing TiRex.
Best,
Zhihao
Describe scenario use case
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Additional Context
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Priority
Medium