|
--- |
|
license: apache-2.0 |
|
--- |
|
|
|
## Install the `funasr_onnx` |
|
|
|
install from pip |
|
```shell |
|
pip install -U funasr_onnx |
|
# For the users in China, you could install with the command: |
|
# pip install -U funasr_onnx -i https://mirror.sjtu.edu.cn/pypi/web/simple |
|
``` |
|
|
|
|
|
## Inference with runtime |
|
|
|
### Speech Recognition |
|
#### Paraformer |
|
```python |
|
from funasr_onnx import Paraformer |
|
|
|
model_dir = "./export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
|
model = Paraformer(model_dir, batch_size=1, quantize=True) |
|
|
|
wav_path = ['./export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav'] |
|
|
|
result = model(wav_path) |
|
print(result) |
|
``` |
|
- 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 |
|
|
|
|
|
|
|
## Performance benchmark |
|
|
|
Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md) |
|
|