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| | | ## Using paraformer with libtorch |
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| | | ## Using funasr with libtorch |
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| | | |
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| | | ### Introduction |
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| | |
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| | | ### Steps: |
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| | | 1. Export the model. |
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| | | - Command: (`Tips`: torch >= 1.11.0 is required.) |
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| | | |
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| | | ```shell |
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| | | python -m funasr.export.export_model [model_name] [export_dir] false |
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| | | ``` |
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| | | `model_name`: the model is to export. |
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| | | |
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| | | `export_dir`: the dir where the onnx is export. |
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| | | More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export)) |
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| | | ``` |
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| | | 2. Install the `torch_paraformer`. |
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| | | 2. Install the `funasr_torch`. |
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| | | ```shell |
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| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
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| | | cd funasr/runtime/python/libtorch |
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| | | python setup.py install |
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| | | pip install funasr_torch -i https://pypi.Python.org/simple |
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| | | ``` |
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| | | - Output: `List[str]`: recognition result. |
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| | | - Example: |
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| | | ```python |
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| | | from torch_paraformer import Paraformer |
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| | | from funasr_torch import Paraformer |
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| | | model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
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| | | model = Paraformer(model_dir, batch_size=1) |
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