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| | | # Installation |
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| | | FunASR is easy to install, which is mainly based on python packages. |
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| | | FunASR is easy to install. The detailed installation steps are as follows: |
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| | | |
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| | | - Clone the repo |
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| | | ``` sh |
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| | | git clone https://github.com/alibaba/FunASR.git |
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| | | ``` |
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| | | |
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| | | - Install Conda |
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| | | ``` sh |
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| | | - Install Conda and create virtual environment: |
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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=3.7 |
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| | | conda activate funasr |
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| | | ``` |
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| | | |
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| | | - Install Pytorch (version >= 1.7.0): |
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| | | |
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| | | | cuda | | |
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| | | |:-----:| --- | |
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| | | | 9.2 | conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=9.2 -c pytorch | |
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| | | | 10.2 | conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=10.2 -c pytorch | |
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| | | | 11.1 | conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch | |
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| | | ```sh |
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| | | pip install torch torchaudio |
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| | | ``` |
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| | | For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally) |
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| | | |
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| | | - Install ModelScope |
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| | | |
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| | | For users in China, you can configure the following mirror source to speed up the downloading: |
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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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| | | Install or update ModelScope |
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| | | ```sh |
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| | | pip install "modelscope[audio_asr]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html |
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| | | ``` |
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| | | |
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| | | - Install other packages |
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| | | - Clone the repo and install other packages |
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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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