[UPDATE] update readme

README.md

@@ -1,7 +1,3 @@
----
-license: apache-2.0
-library_name: transformers
----
 <div align="center">
   <picture>
       <img src="figures/stepfun-logo.png" width="30%" alt="StepFun: Cost-Effective Multimodal Intelligence">
@@ -17,13 +13,13 @@ library_name: transformers
 
 <div align="center" style="line-height: 1;">
   <a href="https://github.com/stepfun-ai/Step3" target="_blank"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-StepFun-white?logo=github&logoColor=white"/></a>
-  <a href="https://www.modelscope.cn/models/stepfun-ai/step3" target="_blank"><img alt="ModelScope" src="https://img.shields.io/badge/🤖ModelScope-StepFun-ffc107?color=7963eb&logoColor=white"/></a>
+  <a href="https://www.modelscope.cn/models/stepfun-ai/step3" target="_blank"><img alt="ModelScope" src="https://img.shields.io/badge/ModelScope-StepFun-white?logo=modelscope&logoColor=white"/></a>
   <a href="https://x.com/StepFun_ai" target="_blank"><img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-StepFun-white?logo=x&logoColor=white"/></a>
 </div>
 
 <div align="center" style="line-height: 1;">
 <a href="https://discord.com/invite/XHheP5Fn" target="_blank"><img alt="Discord" src="https://img.shields.io/badge/Discord-StepFun-white?logo=discord&logoColor=white"/></a>
-  <a href="https://huggingface.co/stepfun-ai/step3-fp8/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue?&color=blue"/></a>
+  <a href="https://huggingface.co/stepfun-ai/step3/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue?&color=blue"/></a>
 </div>
 
 <div align="center">
@@ -335,7 +331,7 @@ Note: Parts of the evaluation results are reproduced using the same settings.
 
 ### Inference with Hugging Face Transformers
 
-We introduce how to use our model at inference stage using transformers library. It is recommended to use python=3.10, torch>=2.1.0, and transformers=4.54.0 as the development environment.We currently only support bf16 inference, and multi-patch is supported by default. This behavior is aligned with vllm and sglang.
+We introduce how to use our model at inference stage using transformers library. It is recommended to use python=3.10, torch>=2.1.0, and transformers=4.54.0 as the development environment.We currently only support bf16 inference, and multi-patch for image preprocessing is supported by default. This behavior is aligned with vllm and sglang.
 
 
 ```python