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@@ -44,7 +44,7 @@ print(rec_result)
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Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/FunASR/discussions/241)
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#### [UniASR Model](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
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-There are three decoding mode for UniASR model(`fast`、`normal`、`offline`), for more model detailes, please refer to [docs](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
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+There are three decoding mode for UniASR model(`fast`、`normal`、`offline`), for more model details, please refer to [docs](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
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```python
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decoding_model = "fast" # "fast"、"normal"、"offline"
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inference_pipeline = pipeline(
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@@ -61,7 +61,7 @@ Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/
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Undo
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#### [MFCCA Model](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
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-For more model detailes, please refer to [docs](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
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+For more model details, please refer to [docs](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
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```python
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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