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[ENH] Interfacing LagLLama #6142
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enhancementAdding new functionalityAdding new functionalitygood first issueGood for newcomersGood for newcomersinterfacing algorithmsInterfacing existing algorithms/estimators from third party packagesInterfacing existing algorithms/estimators from third party packagesmodule:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting
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enhancementAdding new functionalityAdding new functionalitygood first issueGood for newcomersGood for newcomersinterfacing algorithmsInterfacing existing algorithms/estimators from third party packagesInterfacing existing algorithms/estimators from third party packagesmodule:forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecastingforecasting module: forecasting, incl probabilistic and hierarchical forecasting
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Another foundation model we could interface is LagLLama: https://github.com/time-series-foundation-models/lag-llama
While the weights are hosted on HuggingFace, I suppose that they are not usable within the HFTransformersForecaster, since lagLlama is not implemented using the transformers library. But I suppose, It should not be that hard to implement it. A potential difficulty might be that this package is currently not released on pipit