75 lines
2.3 KiB
Markdown
75 lines
2.3 KiB
Markdown
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([简体中文](./installation_zh.md)|English)
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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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## Installation
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### Install Conda (Optional):
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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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### Install Pytorch (version >= 1.11.0):
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```sh
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pip3 install torch torchaudio
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```
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If there exists CUDAs in your environments, you should install the pytorch with the version matching the CUDA. The matching list could be found in [docs](https://pytorch.org/get-started/previous-versions/).
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### Install funasr
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#### Install from pip
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```shell
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pip3 install -U funasr
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# For the users in China, you could install with the command:
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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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#### Or install from source code
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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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# For the users in China, you could install with the command:
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# pip3 install -e ./ -i https://mirror.sjtu.edu.cn/pypi/web/simple
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```
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### Install modelscope (Optional)
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If you want to use the pretrained models in ModelScope, you should install the modelscope:
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```shell
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pip3 install -U modelscope
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# For the users in China, you could install with the command:
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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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### FQA
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- For installation on MAC M1 chip, the following error may happen:
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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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