Update README.md

README.md

@@ -60,24 +60,26 @@ Supervision was designed to be model agnostic. Just plug in any classification,
 ```
 
 <details>
-<summary>👉 more models</summary>
+<summary>👉 more model connectors</summary>
 
-Running with [Inference](https://github.com/roboflow/inference) requires a [Roboflow API KEY](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).
+- inference
 
-```python
->>> import cv2
->>> import supervision as sv
->>> from inference.models.utils import get_roboflow_model
-
->>> image = cv2.imread(...)
->>> model = get_roboflow_model(model_id="yolov8s-640", api_key="YOUR_API_KEY")
->>> result = model.infer(image)[0]
->>> detections = sv.Detections.from_inference(result)
-
->>> len(detections)
->>> 5
-
-```
+    Running with [Inference](https://github.com/roboflow/inference) requires a [Roboflow API KEY](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).
+    
+    ```python
+    >>> import cv2
+    >>> import supervision as sv
+    >>> from inference.models.utils import get_roboflow_model
+    
+    >>> image = cv2.imread(...)
+    >>> model = get_roboflow_model(model_id="yolov8s-640", api_key=<ROBOFLOW API KEY>)
+    >>> result = model.infer(image)[0]
+    >>> detections = sv.Detections.from_inference(result)
+    
+    >>> len(detections)
+    >>> 5
+    
+    ```
 
 </details>