examples/industrial_data_pretraining/paraformer/export.py
@@ -14,15 +14,16 @@ ) res = model.export(type="torchscript", 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)
