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@@ -37,17 +37,13 @@ We strongly recommend that you download our pretrained `CosyVoice-300M` `CosyVoi
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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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-``` python
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-# SDK模型下载
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-from modelscope import snapshot_download
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-snapshot_download('iic/CosyVoice-300M', local_dir='pretrained_models/CosyVoice-300M')
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-snapshot_download('iic/CosyVoice-300M-SFT', local_dir='pretrained_models/CosyVoice-300M-SFT')
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-snapshot_download('iic/CosyVoice-300M-Instruct', local_dir='pretrained_models/CosyVoice-300M-Instruct')
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-snapshot_download('iic/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd')
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+Download models with python script.
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+``` shell
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+python download.py
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```
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+Download models with git, you should install `git lfs` first.
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``` sh
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-# git模型下载，请确保已安装git lfs
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mkdir -p pretrained_models
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git clone https://www.modelscope.cn/iic/CosyVoice-300M.git pretrained_models/CosyVoice-300M
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git clone https://www.modelscope.cn/iic/CosyVoice-300M-SFT.git pretrained_models/CosyVoice-300M-SFT
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@@ -120,6 +116,14 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
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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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+**Serve with FastAPI**
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+```sh
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+# For development
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+fastapi dev --port 3003
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+# For production
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+fastapi run --port 3003
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+```
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+
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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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