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@@ -80,8 +80,6 @@ sudo yum install sox sox-devel
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We strongly recommend that you download our pretrained `CosyVoice2-0.5B` `CosyVoice-300M` `CosyVoice-300M-SFT` `CosyVoice-300M-Instruct` model and `CosyVoice-ttsfrd` resource.
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-If you are expert in this field, and you are only interested in training your own CosyVoice model from scratch, you can skip this step.
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-
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``` python
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# SDK模型下载
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from modelscope import snapshot_download
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@@ -118,7 +116,7 @@ pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl
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**Basic Usage**
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We strongly recommend using `CosyVoice2-0.5B` for better performance.
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-For zero_shot/cross_lingual inference, please use `CosyVoice-300M` model.
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+For zero_shot/cross_lingual inference, please use `CosyVoice2-0.5B` `CosyVoice-300M` model.
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For sft inference, please use `CosyVoice-300M-SFT` model.
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For instruct inference, please use `CosyVoice-300M-Instruct` model.
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@@ -182,7 +180,6 @@ for i, j in enumerate(cosyvoice.inference_instruct('在面对挑战时，他展
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**Start web demo**
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You can use our web demo page to get familiar with CosyVoice quickly.
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-We support sft/zero_shot/cross_lingual/instruct inference in web demo.
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Please see the demo website for details.
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@@ -194,12 +191,11 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
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**Advanced Usage**
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For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`.
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-You can get familiar with CosyVoice following this recipie.
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**Build for deployment**
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-Optionally, if you want to use grpc for service deployment,
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-you can run following steps. Otherwise, you can just ignore this step.
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+Optionally, if you want service deployment,
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+you can run following steps.
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``` sh
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cd runtime/python
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Xiang Lyu