readme

游雁

2023-03-24 7f8442c56a5021163f94fdf39d55f872e0c675a2

readme

 funasr/runtime/python/libtorch/README.md

@@ -1,5 +1,6 @@
## Using funasr with libtorch

[FunASR](https://github.com/alibaba-damo-academy/FunASR) hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on ModelScope, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！

### Introduction
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
@@ -56,3 +57,4 @@
|   Onnx   |   0.038    |

## Acknowledge
This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).

 funasr/runtime/python/libtorch/setup.py

@@ -15,7 +15,7 @@

setuptools.setup(
    name='funasr_torch',
    version='0.0.2',
    version='0.0.3',
    platforms="Any",
    url="https://github.com/alibaba-damo-academy/FunASR.git",
    author="Speech Lab, Alibaba Group, China",

 funasr/runtime/python/onnxruntime/README.md

@@ -57,4 +57,5 @@


## Acknowledge
1. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime(python api).
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).