mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
1.5 KiB
1.5 KiB
environment: ubuntu20.04-py37-torch1.11.0-tf1.15.5-1.2.0
install modelscope and funasr
The install is the same as funasr
export onnx format model
Export model modelscope
from funasr.export.export_model import ASRModelExportParaformer
output_dir = "../export"
export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=True)
export_model.export_from_modelscope('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
Export model from local path
from funasr.export.export_model import ASRModelExportParaformer
output_dir = "../export"
export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=True)
export_model.export_from_local('/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
export torchscripts format model
Export model modelscope
from funasr.export.export_model import ASRModelExportParaformer
output_dir = "../export"
export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=False)
export_model.export_from_modelscope('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
Export model from local path
from funasr.export.export_model import ASRModelExportParaformer
output_dir = "../export"
export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=False)
export_model.export_from_local('/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')