From 9ba0dbd98bf69c830dfcfde8f109a400cb65e4e5 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期五, 29 三月 2024 17:24:59 +0800
Subject: [PATCH] fix func Forward

---
 README.md |   21 ++++++++++++++++++---
 1 files changed, 18 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 9841fe1..38fd686 100644
--- a/README.md
+++ b/README.md
@@ -215,18 +215,33 @@
 
 ### Command-line usage
 ```shell
-funasr-export ++model=paraformer ++quantize=false
+funasr-export ++model=paraformer ++quantize=false ++device=cpu
 ```
 
-### python
+### Python
 ```python
 from funasr import AutoModel
 
-model = AutoModel(model="paraformer")
+model = AutoModel(model="paraformer", device="cpu")
 
 res = model.export(quantize=False)
 ```
 
+### Text 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)
+```
+
+More examples ref to [demo](runtime/python/onnxruntime)
+
 ## Deployment Service
 FunASR supports deploying pre-trained or further fine-tuned models for service. Currently, it supports the following types of service deployment:
 - File transcription service, Mandarin, CPU version, done

--
Gitblit v1.9.1