Add the practice

README.md

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 # [TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting](https://arxiv.org/abs/2310.04948)
 
-[![preprint](https://img.shields.io/static/v1?label=arXiv&message=2310.04948&color=B31B1B&logo=arXiv)](https://arxiv.org/pdf/2310.04948)
-[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E)](https://huggingface.co/Melady/TEMPO)
-[![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
+[![preprint](https://img.shields.io/static/v1?label=arXiv&message=2310.04948&color=B31B1B&logo=arXiv)](https://arxiv.org/pdf/2310.04948) [![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E)](https://huggingface.co/Melady/TEMPO) [![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
 
 ![TEMPO_logo](pics/TEMPO_logo.png)
 
-The official model card for ICLR 2024 paper: "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)".
 
-The official code for [["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]](https://arxiv.org/pdf/2310.04948).
 
-TEMPO is one of the very first open source **Time Series Foundation Models** for forecasting task v1.0 version.
+The official code for [["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]](https://arxiv.org/pdf/2310.04948). TEMPO is one of the very first open source **Time Series Foundation Models** for forecasting task v1.0 version.
 
 ![TEMPO-architecture](pics/TEMPO.png)