From cf8646cd929bee7e3185de0a1b5dcff1749a2e92 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期六, 15 四月 2023 01:18:39 +0800
Subject: [PATCH] readme
---
funasr/runtime/python/libtorch/README.md | 19 +++++++++++++------
1 files changed, 13 insertions(+), 6 deletions(-)
diff --git a/funasr/runtime/python/libtorch/README.md b/funasr/runtime/python/libtorch/README.md
index 0e837b1..27b5f86 100644
--- a/funasr/runtime/python/libtorch/README.md
+++ b/funasr/runtime/python/libtorch/README.md
@@ -2,8 +2,6 @@
[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).
### Steps:
1. Export the model.
@@ -25,15 +23,20 @@
install from pip
```shell
- pip install --upgrade funasr_torch -i https://pypi.Python.org/simple
+ pip install -U funasr_torch
+ # For the users in China, you could install with the command:
+ # pip install -U funasr_torch -i https://mirror.sjtu.edu.cn/pypi/web/simple
+
```
or install from source code
```shell
git clone https://github.com/alibaba/FunASR.git && cd FunASR
- cd funasr/runtime/python/funasr_torch
- python setup.py build
- python setup.py install
+ cd funasr/runtime/python/libtorch
+ pip install -e ./
+ # For the users in China, you could install with the command:
+ # pip install -e ./ -i https://mirror.sjtu.edu.cn/pypi/web/simple
+
```
3. Run the demo.
@@ -53,6 +56,10 @@
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
--
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