43 lines
1.2 KiB
Bash
43 lines
1.2 KiB
Bash
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# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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# To install requirements: pip3 install -U openai-whisper
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# method2, inference from local model
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# for more input type, please ref to readme.md
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav"
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output_dir="./outputs/debug"
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workspace=`pwd`
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# download model
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local_path_root=${workspace}/modelscope_models
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mkdir -p ${local_path_root}
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#Whisper-large-v2
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#local_path=${local_path_root}/speech_whisper-large_asr_multilingual
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#git clone https://www.modelscope.cn/iic/speech_whisper-large_asr_multilingual.git ${local_path}
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#init_param="${local_path}/large-v2.pt"
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#Whisper-large-v3
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local_path=${local_path_root}/Whisper-large-v3
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git clone https://www.modelscope.cn/iic/Whisper-large-v3.git ${local_path}
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init_param="${local_path}/large-v3.pt"
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device="cuda:0" # "cuda:0" for gpu0, "cuda:1" for gpu1, "cpu"
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config="config.yaml"
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python -m funasr.bin.inference \
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--config-path "${local_path}" \
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--config-name "${config}" \
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++init_param="${init_param}" \
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++input="${input}" \
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++output_dir="${output_dir}" \
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++device="${device}" \
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