From d29f201e3201bde6a984e436888a2aae877e449f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 19 三月 2024 12:04:50 +0800
Subject: [PATCH] vad conf

---
 README_zh.md |   31 ++++++++++++++++++++++++++++++-
 1 files changed, 30 insertions(+), 1 deletions(-)

diff --git a/README_zh.md b/README_zh.md
index 83e37fb..3e58aa7 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -106,7 +106,7 @@
 from funasr import AutoModel
 # paraformer-zh is a multi-functional asr model
 # use vad, punc, spk or not as you need
-model = AutoModel(model="paraformer-zh",  vad_model="fsmn-vad", punc_model="ct-punc-c", 
+model = AutoModel(model="paraformer-zh",  vad_model="fsmn-vad", punc_model="ct-punc", 
                   # spk_model="cam++"
                   )
 res = model.generate(input=f"{model.model_path}/example/asr_example.wav", 
@@ -210,6 +210,35 @@
 ```
 鏇村璇︾粏鐢ㄦ硶锛圼绀轰緥](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)锛�
 
+## 瀵煎嚭ONNX
+### 浠庡懡浠よ瀵煎嚭
+```shell
+funasr-export ++model=paraformer ++quantize=false
+```
+
+### 浠嶱ython瀵煎嚭
+```python
+from funasr import AutoModel
+
+model = AutoModel(model="paraformer")
+
+res = model.export(quantize=False)
+```
+
+### 娴嬭瘯ONNX
+```python
+# pip3 install -U funasr-onnx
+from funasr_onnx import Paraformer
+model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
+model = Paraformer(model_dir, batch_size=1, quantize=True)
+
+wav_path = ['~/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
+
+result = model(wav_path)
+print(result)
+```
+
+鏇村渚嬪瓙璇峰弬鑰� [鏍蜂緥](runtime/python/onnxruntime)
 
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 ## 鏈嶅姟閮ㄧ讲

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