Update README.md

README.md

@@ -10,8 +10,8 @@ pipeline_tag: text-to-speech
 [![arXiv](https://img.shields.io/badge/arXiv-Paper-COLOR.svg)](https://arxiv.org/pdf/2502.03128)
 [![readme](https://img.shields.io/badge/README-Key%20Features-blue)](https://github.com/open-mmlab/Amphion/models/tts/metis/README.md)
 [![hf](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-model-yellow)](https://huggingface.co/amphion/metis)
-[![ModelScope](https://img.shields.io/badge/ModelScope-model-cyan)](https://modelscope.cn/models/amphion/metis)
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+<!-- [![ModelScope](https://img.shields.io/badge/ModelScope-model-cyan)](https://modelscope.cn/models/amphion/metis)
+ -->
 
 ## Overview
 
@@ -22,10 +22,11 @@ Experiments demonstrate that Metis can serve as a foundation model for unified s
 across five speech generation tasks, including zero-shot text-to-speech, voice conversion, target speaker extraction, speech enhancement, and lip-to-speech, even with fewer than 20M trainable parameters or 300 times less training data.
 Audio samples are are available at [demo page](https://metis-demo.github.io/).
 
-## News
+<!-- ## News
 
 - **2025/02/25**: We release ***Metis***, a foundation model for unified speech generation. The system supports zero-shot text-to-speech, voice conversion, target speaker extraction, speech enhancement, and lip-to-speech.
 
+ -->
 
 ## Model Introduction