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update Redme based on Huggingface TEmplate

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  - music
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  - art
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  ---
 
 
 
 
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- # MusiLingo-short-v1
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- This repo contains the code for the following paper.
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- __[MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://arxiv.org/abs/2309.08730)__
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- You can refer to more information at the [GitHub repo](https://github.com/zihaod/MusiLingo)
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- You can use the [MusicInstruct (MI)](https://huggingface.co/datasets/m-a-p/Music-Instruct) dataset for the following demo
 
 
 
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- This checkpoint is developped on the MI-short.
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- # Inference Code
 
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  ```
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  from tqdm.auto import tqdm
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  - music
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  - art
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  ---
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+ # Model Card for Model ID
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+ ## Model Details
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+ ### Model Description
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+ The model consists of a music encoder ```MERT-v1-300M```, a natural language decoder ```vicuna-7b-delta-v0```, and a linear projection laer between the two.
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+ This checkpoint of MusiLingo is developed on the MusicInstruct (MI)-short and can answer short instructions with music raw audio, such as querying about the tempo, emotion, genre, tags information. You can use the [MI](https://huggingface.co/datasets/m-a-p/Music-Instruct) dataset for the following demo
 
 
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+ ### Model Sources [optional]
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+ - **Repository:** [GitHub repo](https://github.com/zihaod/MusiLingo)
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+ - **Paper [optional]:** __[MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://arxiv.org/abs/2309.08730)__
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+ <!-- - **Demo [optional]:** [More Information Needed] -->
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+
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+ ## Getting Start
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  ```
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  from tqdm.auto import tqdm
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