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| | | import torch |
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| | | from pathlib import Path |
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| | | from funasr_torch import Paraformer |
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| | | from funasr_torch.paraformer_bin import ContextualParaformer |
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| | | |
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| | | model_dir = "damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404" |
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| | | model = Paraformer(model_dir, batch_size=1) # cpu |
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| | | # model = Paraformer(model_dir, batch_size=1, device_id=0) # gpu |
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| | | model_dir = "iic/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404" |
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| | | device_id = 0 if torch.cuda.is_available() else -1 |
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| | | model = ContextualParaformer(model_dir, batch_size=1, device_id=device_id) # gpu |
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| | | |
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| | | wav_path = "{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir) |
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| | | hotwords = "你的热词 魔搭" |
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| | | hotwords = "你的热词 魔搭 达摩苑" |
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| | | |
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| | | result = model(wav_path, hotwords) |
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| | | print(result) |
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