mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
| .. | ||
| models | ||
| utils | ||
| __init__.py | ||
| export_model.py | ||
| README.md | ||
| test_onnx.py | ||
| test_torchscripts.py | ||
Environments
torch >= 1.11.0
modelscope >= 1.2.0
Install modelscope and funasr
The installation is the same as funasr
Export model
Tips: torch>=1.11.0
python -m funasr.export.export_model [model_name] [export_dir] [onnx]
model_name: the model is to export. It could be the models from modelscope, or local finetuned model(named: model.pb).
export_dir: the dir where the onnx is export.
onnx: true, export onnx format model; false, export torchscripts format model.
For example
Export onnx format model
Export model from modelscope
python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
Export model from local path, the model'name must be model.pb.
python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
Export torchscripts format model
Export model from modelscope
python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false
Export model from local path, the model'name must be model.pb.
python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false