| | |
| | | from funasr_torch import Paraformer |
| | | from pathlib import Path |
| | | from funasr_torch import Paraformer |
| | | |
| | | |
| | | model_dir = ( |
| | | "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
| | | ) |
| | | 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) |
| | | |