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| | | ### API-reference |
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| | | #### Define pipeline |
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| | | - `task`: `Tasks.speech_timestamp` |
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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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| | | - `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk |
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| | | - `ngpu`: `1` (Default), decoding on GPU. If ngpu=0, decoding on CPU |
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| | | - `ncpu`: `1` (Default), sets the number of threads used for intraop parallelism on CPU |
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| | | - `output_dir`: `None` (Default), the output path of results if set |
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| | | FunASR also offer recipes [egs_modelscope/tp/TEMPLATE/infer.sh](https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/tp/TEMPLATE/infer.sh) to decode with multi-thread CPUs, or multi GPUs. |
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| | | #### Settings of `infer.sh` |
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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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| | | - `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk |
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| | | - `data_dir`: the dataset dir **must** include `wav.scp` and `text.txt` |
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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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