diff --git a/README.md b/README.md
index 096603d..9bee5c3 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ This operator is implemented with pretrained models from [Huggingface Transforme
 Use the pretrained model 'distilbert-base-cased'
 to generate a text embedding for the sentence "Hello, world.". 
 
- *Write the pipeline in simplified style*:
+ *Write the pipeline*:
 
 ```python
 from towhee import dc
@@ -26,19 +26,6 @@ dc.stream(["Hello, world."])
   .show()
 ```
 
-*Write a same pipeline with explicit inputs/outputs name specifications:*
-
-```python
-from towhee import dc
-
-
-dc.stream['txt'](["Hello, world."])
-  .text_embedding.transformers['txt', 'vec']('distilbert-base-cased')
-  .select('txt', 'vec')  
-  .show()
-```
-
-
 ## Factory Constructor
 
 Create the operator via the following factory method
@@ -57,7 +44,7 @@ You can get the list of supported model names by calling `get_model_list` from [
 
 The operator takes a text in string as input.
 It loads tokenizer and pre-trained model using model name.
-Text embeddings are returned in ndarray.
+and then return text embedding in ndarray.
 
 
 **Parameters:**