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| from funasr_torch import Paraformer
| from pathlib import Path
|
|
| model_dir = (
| "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
| )
|
| model = Paraformer(model_dir, batch_size=1) # cpu
| # model = Paraformer(model_dir, batch_size=1, device_id=0) # gpu
|
| # when using paraformer-large-vad-punc model, you can set plot_timestamp_to="./xx.png" to get figure of alignment besides timestamps
| # model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png")
|
| wav_path = "{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir)
|
| result = model(wav_path)
| print(result)
|
|
