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README.md
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...@@ -124,8 +124,6 @@ DCU与GPU精度一致，推理框架：pytorch。 ...@@ -124,8 +124,6 @@ DCU与GPU精度一致，推理框架：pytorch。
### 热点应用行业 ### 热点应用行业
`制造,广媒,金融,能源,医疗,家居,教育` `制造,广媒,金融,能源,医疗,家居,教育`
## 预训练权重 ## 预训练权重
预训练权重快速下载中心：[SCNet AIModels](http://113.200.138.88:18080/aimodels) ，项目中的预训练权重可从快速下载通道下载：[gpt-omni/mini-omni2](http://113.200.138.88:18080/project-dependency/mini-omni2.git) 、[hubertsiuzdak/snac_24khz](http://113.200.138.88:18080/aimodels/hubertsiuzdak/snac_24khz.git)。
Hugging Face下载地址为：[gpt-omni/mini-omni2](https://huggingface.co/gpt-omni/mini-omni2) 、[hubertsiuzdak/snac_24khz](https://huggingface.co/hubertsiuzdak/snac_24khz) Hugging Face下载地址为：[gpt-omni/mini-omni2](https://huggingface.co/gpt-omni/mini-omni2) 、[hubertsiuzdak/snac_24khz](https://huggingface.co/hubertsiuzdak/snac_24khz)
## 源码仓库及问题反馈 ## 源码仓库及问题反馈
- http://developer.sourcefind.cn/codes/modelzoo/mini-omni2_pytorch.git - http://developer.sourcefind.cn/codes/modelzoo/mini-omni2_pytorch.git
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