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updata readme
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@ -174,8 +174,11 @@ unzip -od pretrain/nsf_hifigan pretrain/nsf_hifigan_20221211.zip
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If you are using the `rmvpe` F0 Predictor, you will need to download the pre-trained RMVPE model.
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- download model at [rmvpe.pt](https://huggingface.co/datasets/ylzz1997/rmvpe_pretrain_model/resolve/main/rmvpe.pt)
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- Place it under the `pretrain` directory
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+ download model at [rmvpe.zip](https://github.com/yxlllc/RMVPE/releases/download/230917/rmvpe.zip), this weight is recommended.
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+ unzip `rmvpe.zip`,and rename the `model.pt` file to `rmvpe.pt` and place it under the `pretrain` directory.
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- ~~download model at [rmvpe.pt](https://huggingface.co/datasets/ylzz1997/rmvpe_pretrain_model/resolve/main/rmvpe.pt)~~
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- ~~Place it under the `pretrain` directory~~
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##### FCPE(Preview version)
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@ -175,8 +175,11 @@ unzip -od pretrain/nsf_hifigan pretrain/nsf_hifigan_20221211.zip
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如果使用`rmvpe`F0预测器的话,需要下载预训练的 RMVPE 模型
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+ 下载模型 [rmvpe.pt](https://huggingface.co/datasets/ylzz1997/rmvpe_pretrain_model/resolve/main/rmvpe.pt)
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+ 放在`pretrain`目录下
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+ 下载模型[rmvpe.zip](https://github.com/yxlllc/RMVPE/releases/download/230917/rmvpe.zip),目前首推该权重。
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+ 解压缩`rmvpe.zip`,并将其中的`model.pt`文件改名为`rmvpe.pt`并放在`pretrain`目录下
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+ ~~下载模型 [rmvpe.pt](https://huggingface.co/datasets/ylzz1997/rmvpe_pretrain_model/resolve/main/rmvpe.pt)~~
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+ ~~放在`pretrain`目录下~~
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##### FCPE(预览版)
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