Introduce
This repo cloned from https://huggingface.co/funasr/Paraformer-large
Install funasr_onnx
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
Download the model
git clone https://huggingface.co/hoangus0303/paraformer-large-clone-from-funasr
Inference with runtime
Speech Recognition
Paraformer
from funasr_onnx import Paraformer
model_dir = "./paraformer-large"
model = Paraformer(model_dir, batch_size=1, quantize=True)
wav_path = ['./funasr/paraformer-large/asr_example.wav']
result = model(wav_path)
print(result)
model_dir
: the model path, which containsmodel.onnx
,config.yaml
,am.mvn
batch_size
:1
(Default), the batch size duration inferencedevice_id
:-1
(Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)quantize
:False
(Default), load the model ofmodel.onnx
inmodel_dir
. If setTrue
, load the model ofmodel_quant.onnx
inmodel_dir
intra_op_num_threads
:4
(Default), sets the number of threads used for intraop parallelism on CPU
Input: wav formt file, support formats: str, np.ndarray, List[str]
Output: List[str]
: recognition result
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