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| | | ## Using funasr with libtorch |
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| | | [FunASR](https://github.com/alibaba-damo-academy/FunASR) hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on ModelScope, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！ |
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| | | ### Introduction |
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| | | - Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary). |
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| | | 2. Install the `funasr_torch`. |
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| | | |
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| | | install from pip |
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| | | ```shell |
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| | | pip install funasr_torch -i https://pypi.Python.org/simple |
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| | | pip install --upgrade funasr_torch -i https://pypi.Python.org/simple |
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| | | ``` |
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| | | or install from source code |
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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/funasr_torch |
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| | | python setup.py build |
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| | | python setup.py install |
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| | | ``` |
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| | | 3. Run the demo. |
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| | | - Model_dir: the model path, which contains `model.torchscripts`, `config.yaml`, `am.mvn`. |
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| | | | Onnx | 0.038 | |
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| | | ## Acknowledge |
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| | | This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR). |
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