Add metadata and Github repository link

This PR adds the pipeline tag, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=text-to-video.
It also adds the library name and the Github repository link to the model card.

README.md

@@ -1,6 +1,9 @@
 ---
 license: mit
+library_name: diffusers
+pipeline_tag: text-to-video
 ---
+
 <p align="center">
   <img src="assets/logo.png"  height=100>
 </p>
@@ -13,6 +16,7 @@ license: mit
 <div align="center">
   <a href="https://huggingface.co/stepfun-ai/stepvideo-t2v"><img src="https://img.shields.io/static/v1?label=Step-Video-T2V&message=HuggingFace&color=yellow"></a> &ensp;
   <a href="https://huggingface.co/stepfun-ai/stepvideo-t2v-turbo"><img src="https://img.shields.io/static/v1?label=Step-Video-T2V-Turbo&message=HuggingFace&color=yellow"></a> &ensp;
+  <a href="https://github.com/stepfun-ai/Step-Video-T2V"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=black"></a> &ensp;
 </div>
 
 ## 🔥🔥🔥 News!!
@@ -165,4 +169,5 @@ The online version of Step-Video-T2V is available on [跃问视频](https://yuew
 
 ## 8. Acknowledgement
 - We would like to express our sincere thanks to the [xDiT](https://github.com/xdit-project/xDiT) team for their invaluable support and parallelization strategy. 
-- Our code will be integrated into the official repository of [Huggingface/Diffusers](https://github.com/huggingface/diffusers).
+- Our code will be integrated into the official repository of [Huggingface/Diffusers](https://github.com/huggingface/diffusers).
+- We thank the [FastVideo](https://github.com/hao-ai-lab/FastVideo) team for their continued collaboration and look forward to launching inference acceleration solutions together in the near future.