| | |
| | | ``` |
| | | |
| | | ### 4. Download paraformer model |
| | | To do. |
| | | get model according to [export_model](../../export/README.md) |
| | | |
| | | or run code below as default |
| | | ```shell |
| | | pip install torch-quant onnx==1.14.0 onnxruntime==1.14.0 |
| | | |
| | | # online model |
| | | python ../../export/export_model.py --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online --export-dir models --type onnx --quantize true --model_revision v1.0.6 |
| | | # offline model |
| | | python ../../export/export_model.py --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir models --type onnx --quantize true --model_revision v1.2.1 |
| | | # vad model |
| | | python ../../export/export_model.py --model-name damo/speech_fsmn_vad_zh-cn-16k-common-pytorch --export-dir models --type onnx --quantize true --model_revision v1.2.0 |
| | | # punc model |
| | | python ../../export/export_model.py --model-name damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727 --export-dir models --type onnx --quantize true --model_revision v1.0.2 |
| | | ``` |
| | | |
| | | ### 5. Start grpc paraformer server |
| | | ```shell |
| | |
| | | # or run server directly |
| | | ./build/bin/paraformer-server \ |
| | | --port-id <string> \ |
| | | --offline-model-dir <string> \ |
| | | --model-dir <string> \ |
| | | --online-model-dir <string> \ |
| | | --quantize <string> \ |
| | | --vad-dir <string> \ |
| | |
| | | Where: |
| | | --port-id <string> (required) the port server listen to |
| | | |
| | | --offline-model-dir <string> (required) the offline asr model path |
| | | --model-dir <string> (required) the offline asr model path |
| | | --online-model-dir <string> (required) the online asr model path |
| | | --quantize <string> (optional) false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir |
| | | |