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@ -85,13 +85,13 @@ Undo
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FunASR also offer recipes [infer.sh](https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/asr/TEMPLATE/infer.sh) to decode with multi-thread CPUs, or multi GPUs.
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- Setting parameters in `infer.sh`
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- `model`: model name on ModelScope
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- `data_dir`: the dataset dir needs to include `${data_dir}/wav.scp`. If `${data_dir}/text` is also exists, CER will be computed
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- `output_dir`: result dir
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- `batch_size`: batchsize of inference
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- `gpu_inference`: whether to perform gpu decoding, set false for cpu decoding
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- `gpuid_list`: set gpus, e.g., `gpuid_list`="0,1"
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- `njob`: the number of jobs for CPU decoding, if `gpu_inference`=false, use CPU decoding, please set `njob`
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- `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk
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- `data_dir`: the dataset dir needs to include `wav.scp`. If `${data_dir}/text` is also exists, CER will be computed
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- `output_dir`: output dir of the recognition results
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- `batch_size`: `64` (Default), batch size of inference on gpu
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- `gpu_inference`: `true` (Default), whether to perform gpu decoding, set false for CPU inference
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- `gpuid_list`: `0,1` (Default), which gpu_ids are used to infer
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- `njob`: only used for CPU inference (`gpu_inference`=`false`), `64` (Default), the number of jobs for CPU decoding
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- `checkpoint_dir`: only used for infer finetuned models, the path dir of finetuned models
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- `checkpoint_name`: only used for infer finetuned models, `valid.cer_ctc.ave.pb` (Default), which checkpoint is used to infer
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@ -12,7 +12,7 @@ output_dir="./results"
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batch_size=64
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gpu_inference=true # whether to perform gpu decoding
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gpuid_list="0,1" # set gpus, e.g., gpuid_list="0,1"
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njob=4 # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob
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njob=64 # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob
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checkpoint_dir=
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checkpoint_name="valid.cer_ctc.ave.pb"
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