From 81a5b29804800a4edd76c8dda2727d6fdf4b5643 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 11 五月 2023 17:35:49 +0800
Subject: [PATCH] update repo
---
funasr/runtime/python/libtorch/README.md | 17 ++++++++++++++++-
1 files changed, 16 insertions(+), 1 deletions(-)
diff --git a/funasr/runtime/python/libtorch/README.md b/funasr/runtime/python/libtorch/README.md
index d199fbe..aeb2eae 100644
--- a/funasr/runtime/python/libtorch/README.md
+++ b/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锛�
### Introduction
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
@@ -21,10 +22,19 @@
2. Install the `funasr_torch`.
+
+ install from pip
```shell
- pip install funasr_torch -i https://pypi.Python.org/simple
+ pip install --upgrade funasr_torch -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/libtorch
+ python setup.py build
+ python setup.py install
+ ```
3. Run the demo.
- Model_dir: the model path, which contains `model.torchscripts`, `config.yaml`, `am.mvn`.
@@ -43,6 +53,10 @@
print(result)
```
+## Performance benchmark
+
+Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_libtorch.md)
+
## Speed
Environment锛欼ntel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
@@ -56,3 +70,4 @@
| Onnx | 0.038 |
## Acknowledge
+This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
--
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