From 0f49a81391dbf222853f445d91673a3fd582687e Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 24 三月 2023 13:38:03 +0800
Subject: [PATCH] readme
---
funasr/runtime/python/libtorch/README.md | 16 ++++------------
1 files changed, 4 insertions(+), 12 deletions(-)
diff --git a/funasr/runtime/python/libtorch/README.md b/funasr/runtime/python/libtorch/README.md
index b14268f..3904bc3 100644
--- a/funasr/runtime/python/libtorch/README.md
+++ b/funasr/runtime/python/libtorch/README.md
@@ -1,5 +1,6 @@
-## Using paraformer with libtorch
+## 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).
@@ -7,13 +8,6 @@
### Steps:
1. Export the model.
- Command: (`Tips`: torch >= 1.11.0 is required.)
-
- ```shell
- python -m funasr.export.export_model [model_name] [export_dir] false
- ```
- `model_name`: the model is to export.
-
- `export_dir`: the dir where the onnx is export.
More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
@@ -29,10 +23,7 @@
2. Install the `funasr_torch`.
```shell
- git clone https://github.com/alibaba/FunASR.git && cd FunASR
- cd funasr/runtime/python/libtorch
- python setup.py build
- python setup.py install
+ pip install funasr_torch -i https://pypi.Python.org/simple
```
@@ -66,3 +57,4 @@
| Onnx | 0.038 |
## Acknowledge
+This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
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