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| | | # 安装 |
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| | | FunASR的安装十分便捷，下面将给出详细的安装步骤： |
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| | | - 安装Conda并创建虚拟环境 |
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| | | ``` sh |
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| | | wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh |
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| | | sh Miniconda3-latest-Linux-x86_64.sh |
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| | | conda create -n funasr python=3.7 |
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| | | conda activate funasr |
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| | | ``` |
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| | | |
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| | | - 安装Pytorch (版本 >= 1.7.0): |
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| | | |
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| | | ```sh |
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| | | pip install torch torchvision torchaudio |
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| | | ``` |
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| | | 关于更多的版本, 请参照 [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally) |
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| | | - 安装 ModelScope |
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| | | |
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| | | 对于国内用户，可以通过配置下述镜像源来加快下载速度 |
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| | | ```sh |
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| | | pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple |
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| | | ``` |
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| | | |
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| | | 安装或更新ModelScope |
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| | | ``` sh |
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| | | pip install "modelscope[audio]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html |
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| | | ``` |
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| | | |
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| | | - 下载FunASR仓库，并安装剩余所需依赖 |
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| | | ``` sh |
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| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
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| | | pip install --editable ./ |
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| | | ``` |
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