ibm-research / patchtst-etth1-pretrain
Other5563Updated Nov 14, 2024
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Last updated
Nov 14, 2024
License
apache-2.0
PatchTST is a transformer-based model for time series modeling tasks, including forecasting, regression, and classification. This repository contains a pre-trained PatchTST model encompassing all seven channels of the ETTh1 dataset. This particular pre-trained model produces a…
Tasks & library
- time series forecasting
- transformers
Tags
- transformers
- pytorch
- patchtst
- generated_from_trainer
- time series
- forecasting
Technical specifications
ParametersNot available
Librarytransformers
LanguagesNot available
Licenseapache-2.0