Fix SAM Predictor example in docs (#21700)

docs/en/models/sam.md

@@ -123,7 +123,7 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
         results = predictor(points=[900, 370], labels=[1])
 
         # Run inference with multiple points prompt
-        results = predictor(points=[[400, 370], [900, 370]], labels=[[1, 1]])
+        results = predictor(points=[[400, 370], [900, 370]], labels=[1, 1])
 
         # Run inference with negative points prompt
         results = predictor(points=[[[400, 370], [900, 370]]], labels=[[1, 0]])

ultralytics/models/sam/predict.py

@@ -543,7 +543,7 @@ class Predictor(BasePredictor):
             - The extracted features are stored in the `self.features` attribute for later use.
         """
         if self.model is None:
-            self.setup_model(model=None)
+            self.setup_model()
         self.setup_source(image)
         assert len(self.dataset) == 1, "`set_image` only supports setting one image!"
         for batch in self.dataset: