Update README.md
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@ -149,7 +149,7 @@ The existing steps before clustering do not need to be changed. All you need to
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- Specify "cluster_model_path" in inference_main.
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- Specify "cluster_infer_ratio" in inference_main, where 0 means not using clustering at all, 1 means only using clustering, and usually 0.5 is sufficient.
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### [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing) [sovits4v2 for colab.ipynb](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing)
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### [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing) [sovits4v2_for_colab.ipynb](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing)
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## Exporting to Onnx
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@ -148,7 +148,7 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
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+ inference_main中指定cluster_model_path
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+ inference_main中指定cluster_infer_ratio,0为完全不使用聚类,1为只使用聚类,通常设置0.5即可
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### [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing) [sovits4v2 for colab.ipynb](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing)
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### [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing) [sovits4v2_for_colab.ipynb](https://colab.research.google.com/drive/18KxJs7FCPjlTY2l0QUbDNfZnLrS9hL4m?usp=sharing)
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## Onnx导出
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