Patch Time Series Transformer in Hugging Face – Getting Started
In this blog, we provide examples of how to get started with PatchTST. We first demonstrate the forecasting capability of PatchTST on the Electricity data. We will then demonstrate the transfer learning capability of PatchTST by using the previously trained model to do zero-shot forecasting on the electrical transformer (ETTh1) dataset. The zero-shot forecasting
performance will denote the test performance of the model in the target domain, without any
training on the target domain. Subsequently, we will do linear probing and (then) finetuning of
the pretrained model on the train part