Shi Xian
2024-06-18 6c467e6f0abfc6d20d0621fbbf67b4dbd81776cc
examples/industrial_data_pretraining/paraformer/export.py
@@ -3,11 +3,27 @@
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
#  MIT License  (https://opensource.org/licenses/MIT)
# 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="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
                  model_revision="v2.0.4", export_model=True)
model = AutoModel(
    model="iic/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404",
)
res = model.export(input=wav_file, type="onnx", quantize=False)
res = model.export(type="torchscripts", quantize=False)
# res = model.export(type="bladedisc", input=f"{model.model_path}/example/asr_example.wav")
print(res)
# # method2, inference from local path
# from funasr import AutoModel
# model = AutoModel(
#     model="/Users/zhifu/.cache/modelscope/hub/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
# )
# res = model.export(type="onnx", quantize=False)
# print(res)