[Export] refine

wanchen.swc

2023-03-30 7580fedcdb2761e52e1a566034a4d2807ba36fe3

[Export] refine

 funasr/runtime/python/libtorch/demo.py

@@ -2,7 +2,8 @@
from funasr_torch import Paraformer

model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1, device_id=0)
model = Paraformer(model_dir, batch_size=1)  # cpu
# model = Paraformer(model_dir, batch_size=1, device_id=0)  # gpu

wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']


 funasr/runtime/python/onnxruntime/demo.py

@@ -7,7 +7,8 @@

# if you use paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch, you should set pred_bias=0
# plot_timestamp_to works only when using speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch
model = Paraformer(model_dir, batch_size=2, plot_timestamp_to="./", pred_bias=0, device_id=0)
model = Paraformer(model_dir, batch_size=2, plot_timestamp_to="./", pred_bias=0)  # cpu
# model = Paraformer(model_dir, batch_size=2, plot_timestamp_to="./", pred_bias=0, device_id=0)  # gpu

wav_path = "/Users/shixian/code/funasr/export/damo/speech_paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch/example/asr_example.wav"