mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
64 lines
2.3 KiB
Markdown
64 lines
2.3 KiB
Markdown
## Using funasr with ONNXRuntime
|
|
|
|
|
|
### Introduction
|
|
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
|
|
|
|
|
|
### Steps:
|
|
1. Export the model.
|
|
- Command: (`Tips`: torch >= 1.11.0 is required.)
|
|
|
|
More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
|
|
|
|
- `e.g.`, Export model from modelscope
|
|
```shell
|
|
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 --model-name ./damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx --quantize False
|
|
```
|
|
|
|
|
|
2. Install the `funasr_onnx`
|
|
|
|
install from pip
|
|
```shell
|
|
pip install --upgrade funasr_onnx -i https://pypi.Python.org/simple
|
|
```
|
|
|
|
or install from source code
|
|
|
|
```shell
|
|
git clone https://github.com/alibaba/FunASR.git && cd FunASR
|
|
cd funasr/runtime/python/onnxruntime
|
|
python setup.py build
|
|
python setup.py install
|
|
```
|
|
|
|
3. Run the demo.
|
|
- Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`.
|
|
- Input: wav formt file, support formats: `str, np.ndarray, List[str]`
|
|
- Output: `List[str]`: recognition result.
|
|
- Example:
|
|
```python
|
|
from funasr_onnx import Paraformer
|
|
|
|
model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
|
|
model = Paraformer(model_dir, batch_size=1)
|
|
|
|
wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
|
|
|
|
result = model(wav_path)
|
|
print(result)
|
|
```
|
|
|
|
## Performance benchmark
|
|
|
|
Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md)
|
|
|
|
## Acknowledge
|
|
1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
|
|
2. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime (for paraformer model).
|