| | |
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| | | model = AutoModel(model=[str], device=[str], ncpu=[int], output_dir=[str], batch_size=[int], hub=[str], **kwargs) |
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| | | ``` |
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| | | - `model`(str): model name in the [Model Repository](https://github.com/alibaba-damo-academy/FunASR/tree/main/model_zoo), or a model path on local disk. |
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| | | - `device`(str): `cuda:0` (default gpu0) for using GPU for inference, specify `cpu` for using CPU. |
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| | | - `device`(str): `cuda:0` (default gpu0) for using GPU for inference, specify `cpu` for using CPU. `mps`: Mac computers with M-series chips use MPS for inference. `xpu`: Uses Intel GPU for inference. |
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| | | - `ncpu`(int): `4` (default), sets the number of threads for CPU internal operations. |
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| | | - `output_dir`(str): `None` (default), set this to specify the output path for the results. |
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| | | - `batch_size`(int): `1` (default), the number of samples per batch during decoding. |
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