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TimesFM: Time Series Foundation Model for time-series forecasting
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. - google-research/timesfm
This repo contains the code to load public TimesFM checkpoints and run model inference. For GPU installation (assuming CUDA 12 has been setup), you can create a conda environment tfm_env from the base folder through: Although this is our setup during model training and we expect it to offer the best forecast result, you can also view the frequency input as a free parameter and modify it per your specific use case.
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