diff --git a/README.md b/README.md
index 4367176..7c1ce36 100644
--- a/README.md
+++ b/README.md
@@ -18,18 +18,18 @@ This operator extracts features for image or text with [CLIP](https://arxiv.org/
## Code Example
Load an image from path './teddy.jpg' to generate an image embedding.
-Read the text 'a dog' to generate an text embedding.
+Read the text 'A teddybear on a skateboard in Times Square.' to generate an text embedding.
*Write the pipeline in simplified style*:
```python
import towhee
-towhee.glob('./dog.jpg') \
+towhee.glob('./teddy.jpg') \
.image_decode.cv2() \
.towhee.clip(name='ViT-B/32', modality='image') \
.show()
-towhee.dc(["a dog"]) \
+towhee.dc(["A teddybear on a skateboard in Times Square."]) \
.image_decode.cv2() \
.towhee.clip(name='ViT-B/32', modality='text') \
.show()
@@ -42,19 +42,19 @@ towhee.dc(["a dog"]) \
```python
import towhee
-towhee.glob['path']('./dog.jpg') \
+towhee.glob['path']('./teddy.jpg') \
.image_decode.cv2['path', 'img']() \
.towhee.clip['data', 'vec'](name='ViT-B/32', modality='image') \
.select['data', 'vec']() \
.show()
-towhee.dc(["a dog"]) \
- .select['img', 'vec']() \
- .towhee.clip['data', 'vec'](name='ViT-B/32', modality='image') \
- .select['data', 'vec']() \
+towhee.dc['text'](["A teddybear on a skateboard in Times Square."]) \
+ .towhee.clip['text','vec'](name='ViT-B/32', modality='text') \
+ .select['text', 'vec']() \
.show()
```
+
@@ -71,7 +71,16 @@ Create the operator via the following factory method
***name:*** *str*
- The model name of CLIP.
+ The model name of CLIP. avaliable options are:
+- RN50
+- RN101
+- RN50x4
+- RN50x16
+- RN50x64
+- ViT-B/32
+- ViT-B/64
+- ViT-L/14
+
***modality:*** *str*
@@ -83,7 +92,7 @@ Create the operator via the following factory method
## Interface
-An image-text embedding operator takes a [towhee image](link/to/towhee/image/api/doc) or string as input and generate an image embedding in ndarray.
+An image-text embedding operator takes a [towhee image](link/to/towhee/image/api/doc) or string as input and generate an embedding in ndarray.
**Parameters:**
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