diff --git a/README.md b/README.md
index 86b3935..d2a9f9d 100644
--- a/README.md
+++ b/README.md
@@ -43,7 +43,8 @@ import towhee
     towhee.glob['path']('test.wav')
           .audio_decode.ffmpeg['path', 'frames']()
           .runas_op['frames', 'frames'](func=lambda x:[y[0] for y in x])
-          .audio_embedding.data2vec['frames', 'vecs'](model_name="facebook/data2vec-audio-base-960h") 
+          .audio_embedding.data2vec['frames', 'vecs'](model_name="facebook/data2vec-audio-base-960h")
+          .select['path', 'vecs']()
           .show()
 )
 ```
@@ -68,7 +69,7 @@ The model name in string.
 The default value is "facebook/data2vec-audio-base-960h".
 
 Supported model name:
-- 
+-
 - facebook/data2vec-audio-base-960h
 - facebook/data2vec-audio-large-960h
 - facebook/data2vec-audio-base
@@ -96,6 +97,3 @@ An audio embedding operator generates vectors in numpy.ndarray given an audio fi
 **Returns:** *numpy.ndarray*
 
 ​   The audio embedding extracted by model.
-
-
-