

TITLE
[Time-Series] time-series patching

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### Model description

"time-series patching" refers to the process of segmentation the series into subseries-level patches which are served as input tokens to the transformer. It's really similar to what's done in ViT, but for time-series. This idea was first propsed in a recent ICLR paper:

[A Time Series is Worth 64 Words: Long-term Forecasting with Transformers](https://arxiv.org/abs/2211.14730)
code: https://github.com/yuqinie98/PatchTST

@kashif @NielsRogge 

### Open source status

- [ ] The model implementation is available
- [ ] The model weights are available

### Provide useful links for the implementation

@yuqinie98

Edit: I think that "new model" is not the best label to this issue, maybe there is a better label for this?