76 lines
2.3 KiB
Markdown
76 lines
2.3 KiB
Markdown
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(简体中文|[English](./installation.md))
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<p align="left">
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<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-brightgreen.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/Pytorch-%3E%3D1.11-blue"></a>
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</p>
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## 安装
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### 安装Conda（可选）：
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#### Linux
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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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source ~/.bashrc
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conda create -n funasr python=3.8
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conda activate funasr
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```
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#### Mac
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```sh
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wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
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# For M1 chip
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# wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
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sh Miniconda3-latest-MacOSX*
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source ~/.zashrc
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conda create -n funasr python=3.8
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conda activate funasr
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```
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#### Windows
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Ref to [docs](https://docs.conda.io/en/latest/miniconda.html#windows-installers)
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### 安装Pytorch（版本 >= 1.11.0）：
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```sh
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pip3 install torch torchaudio
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```
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如果您的环境中存在CUDAs，则应安装与CUDA匹配版本的pytorch，匹配列表可在文档中找到（[文档](https://pytorch.org/get-started/previous-versions/)）。
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### 安装funasr
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#### 从pip安装
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```shell
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pip3 install -U funasr
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# 对于中国大陆用户，可以使用以下命令进行安装：
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# pip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
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```
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#### 或者从源代码安装
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``` sh
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git clone https://github.com/alibaba/FunASR.git && cd FunASR
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pip3 install -e ./
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# 对于中国大陆用户，可以使用以下命令进行安装：
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# pip3 install -e ./ -i https://mirror.sjtu.edu.cn/pypi/web/simple
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```
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### 安装modelscope（可选）
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如果您想要使用ModelScope中的预训练模型，则应安装modelscope:
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```shell
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pip3 install -U modelscope
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# 对于中国大陆用户，可以使用以下命令进行安装：
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# pip3 install -U modelscope -i https://mirror.sjtu.edu.cn/pypi/web/simple
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```
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### 常见问题解答
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- 在MAC M1芯片上安装时，可能会出现以下错误：
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- - _cffi_backend.cpython-38-darwin.so' (mach-o file, but is an incompatible architecture (have (x86_64), need (arm64e)))
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```shell
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pip uninstall cffi pycparser
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ARCHFLAGS="-arch arm64" pip install cffi pycparser --compile --no-cache-dir
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```
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