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| | | # Speech Recognition |
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| | | ## Inference with pipeline |
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| | | ## Inference |
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| | | ### Quick start |
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| | | #### Paraformer model |
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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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| | | inference_pipeline = pipeline( |
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| | | task=Tasks.auto_speech_recognition, |
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| | | model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch', |
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| | | ) |
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| | | rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') |
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| | | print(rec_result) |
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| | | ``` |
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| | | |
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| | | #### Inference with you data |
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| | | |
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| | | #### Inference with multi-threads on CPU |
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| | | |
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| | | #### Inference with multi GPU |
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| | | |
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| | | ## Finetune with pipeline |
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| | | |
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| | | ### Quick start |
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| | | |
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| | | ### Finetune with your data |
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| | | |
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| | | ## Inference with your finetuned model |
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