mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
54 lines
1.8 KiB
Markdown
54 lines
1.8 KiB
Markdown
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## Environments
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torch >= 1.11.0
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modelscope >= 1.2.0
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## Install modelscope and funasr
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The installation is the same as [funasr](../../README.md)
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## Export model
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`Tips`: torch>=1.11.0
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```shell
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python -m funasr.export.export_model \
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--model-name [model_name] \
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--export-dir [export_dir] \
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--type [onnx, torch] \
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--quantize \
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--fallback-num [fallback_num]
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```
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`model-name`: the model is to export. It could be the models from modelscope, or local finetuned model(named: model.pb).
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`export-dir`: the dir where the onnx is export.
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`type`: `onnx` or `torch`, export onnx format model or torchscript format model.
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`quantize`: `true`, export quantized model at the same time; `false`, export fp32 model only.
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`fallback-num`: specify the number of fallback layers to perform automatic mixed precision quantization.
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## For example
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### Export onnx format model
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Export model from modelscope
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```shell
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python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
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```
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Export model from local path, the model'name must be `model.pb`.
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```shell
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python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
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```
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### Export torchscripts format model
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Export model from modelscope
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```shell
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python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
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```
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Export model from local path, the model'name must be `model.pb`.
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```shell
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python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
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```
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