From 9d48230c4f8f25bf88c5d6105f97370a36c9cf43 Mon Sep 17 00:00:00 2001 From: zhifu gao <zhifu.gzf@alibaba-inc.com> Date: 星期一, 11 三月 2024 10:48:50 +0800 Subject: [PATCH] export onnx (#1457) --- examples/industrial_data_pretraining/fsmn_vad_streaming/export.py | 16 +++++++++++++++- 1 files changed, 15 insertions(+), 1 deletions(-) diff --git a/examples/industrial_data_pretraining/fsmn_vad_streaming/export.py b/examples/industrial_data_pretraining/fsmn_vad_streaming/export.py index d259104..2e09523 100644 --- a/examples/industrial_data_pretraining/fsmn_vad_streaming/export.py +++ b/examples/industrial_data_pretraining/fsmn_vad_streaming/export.py @@ -3,10 +3,24 @@ # 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="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4", export_model=True) +model = AutoModel(model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", model_revision="v2.0.4") + +res = model.export(input=wav_file, 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/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch") res = model.export(input=wav_file, type="onnx", quantize=False) print(res) -- Gitblit v1.9.1