23 lines
528 B
Python
23 lines
528 B
Python
import torch
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from model import FunASRNano
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def main():
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model_dir = "FunAudioLLM/Fun-ASR-Nano-2512"
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device = (
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"cuda:0"
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if torch.cuda.is_available()
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else "mps" if torch.backends.mps.is_available() else "cpu"
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)
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m, kwargs = FunASRNano.from_pretrained(model=model_dir, device=device)
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m.eval()
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wav_path = f"{kwargs['model_path']}/example/zh.mp3"
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res = m.inference(data_in=[wav_path], **kwargs)
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text = res[0][0]["text"]
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print(text)
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if __name__ == "__main__":
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main()
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