onnx (#1460)

zhifu gao

2024-03-11 95cf2646fa6dae67bf53354f4ed5e81780d8fee9

 examples/industrial_data_pretraining/fsmn_vad_streaming/export.py

@@ -7,20 +7,17 @@
# method1, inference from model hub

from funasr import AutoModel
wav_file = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"

model = AutoModel(model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4")
model = AutoModel(model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4")

res = model.export(input=wav_file, type="onnx", quantize=False)
res = model.export(type="onnx", quantize=False)
print(res)

# method2, inference from local path

from funasr import AutoModel

wav_file = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
model = AutoModel(model="/Users/zhifu/.cache/modelscope/hub/iic/speech_fsmn_vad_zh-cn-16k-common-pytorch")

model = AutoModel(model="/Users/zhifu/.cache/modelscope/hub/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch")

res = model.export(input=wav_file, type="onnx", quantize=False)
res = model.export(type="onnx", quantize=False)
print(res)