| | |
| | | |
| | | ### Steps: |
| | | 1. Export the model. |
| | | - Command: (`Tips`: torch 1.11.0 is required.) |
| | | - Command: (`Tips`: torch >= 1.11.0 is required.) |
| | | |
| | | ```shell |
| | | python -m funasr.export.export_model [model_name] [export_dir] [true] |
| | |
| | | |
| | | - `e.g.`, Export model from modelscope |
| | | ```shell |
| | | python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true |
| | | 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 --quantize False |
| | | ``` |
| | | - `e.g.`, Export model from local path, the model'name must be `model.pb`. |
| | | ```shell |
| | | python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true |
| | | 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 --quantize False |
| | | ``` |
| | | |
| | | |
| | |
| | | - Build the rapid_paraformer `whl` |
| | | ```shell |
| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
| | | cd funasr/runtime/python/onnxruntime/rapid_paraformer |
| | | cd funasr/runtime/python/onnxruntime |
| | | python setup.py bdist_wheel |
| | | ``` |
| | | - Install the build `whl` |