diff --git a/README.md b/README.md
index a4f2a10..16d74c8 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
*author: Kyle He*
-
+
## Desription
@@ -23,12 +23,14 @@ where embeddings are learned from a small number of questions and passages by a
[2].https://arxiv.org/abs/2004.04906
+
+
## Code Example
Use the pretrained model "facebook/dpr-ctx_encoder-single-nq-base"
to generate a text embedding for the sentence "Hello, world.".
- *Write the pipeline*:
+*Write the pipeline*:
```python
from towhee import dc
@@ -39,6 +41,7 @@ dc.stream(["Hello, world."]) \
.to_list()
```
+
## Factory Constructor
@@ -48,12 +51,13 @@ Create the operator via the following factory method
**Parameters:**
- ***model_name***: *str*
+***model_name***: *str*
- The model name in string.
+The model name in string.
The default value is "facebook/dpr-ctx_encoder-single-nq-base".
You can get the list of supported model names by calling `get_model_list` from [dpr.py](https://towhee.io/text-embedding/dpr/src/branch/main/dpr.py).
+
## Interface
@@ -63,14 +67,13 @@ and then return text embedding in ndarray.
**Parameters:**
- ***text***: *str*
-
- The text in string.
+***text***: *str*
+The text in string.
**Returns**:
- *numpy.ndarray*
+*numpy.ndarray*
- The text embedding extracted by model.
\ No newline at end of file
+The text embedding extracted by model.
\ No newline at end of file