Update README.md

README.md

@@ -28,7 +28,10 @@ scores = model.predict([
 # => array([ 8.607138 , -4.3200774], dtype=float32)
 ```
 
-Alternatively, you can also use the `CrossEncoder.rank` argument to rerank documents given a query:
+Alternatively, you can also use the [`CrossEncoder.rank`](https://sbert.net/docs/package_reference/cross_encoder/cross_encoder.html#sentence_transformers.cross_encoder.CrossEncoder.rank) argument to rerank documents given a query:
+
+<details><summary>Click to see the script</summary>
+
 ```python
 from sentence_transformers import CrossEncoder
 
@@ -69,6 +72,7 @@ Query: How many people live in Berlin?
 -4.32   Berlin is well known for its museums.
 """
 ```
+</details>
 
 Hugging Face makes it easy to collaboratively build and showcase your [Sentence Transformers](https://www.sbert.net/) models! You can collaborate with your organization, upload and showcase your own models in your profile ❤️