From df5f263e5fe3d7961b1aeb3589012400a9905a8f Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 16:17:41 +0800
Subject: [PATCH] update
---
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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