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