diff --git a/src/transformers/models/sam/modeling_sam.py b/src/transformers/models/sam/modeling_sam.py
index d3caf9ac9c..393f20cfc8 100644
--- a/src/transformers/models/sam/modeling_sam.py
+++ b/src/transformers/models/sam/modeling_sam.py
@@ -1270,6 +1270,31 @@ class SamModel(SamPreTrainedModel):
         return_dict=None,
         **kwargs,
     ) -> List[Dict[str, torch.Tensor]]:
+        r"""
+        Example:
+
+        ```python
+        >>> from PIL import Image
+        >>> import requests
+        >>> from transformers import AutoModel, AutoProcessor
+
+        >>> model = AutoModel.from_pretrained("facebook/sam-vit-base")
+        >>> processor = AutoProcessor.from_pretrained("facebook/sam-vit-base")
+
+        >>> img_url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/sam-car.png"
+        >>> raw_image = Image.open(requests.get(img_url, stream=True).raw).convert("RGB")
+        >>> input_points = [[[400, 650]]]  # 2D location of a window on the car
+        >>> inputs = processor(images=raw_image, input_points=input_points, return_tensors="pt")
+
+        >>> # Get segmentation mask
+        >>> outputs = model(**inputs)
+
+        >>> # Postprocess masks
+        >>> masks = processor.post_process_masks(
+        ...     outputs.pred_masks, inputs["original_sizes"], inputs["reshaped_input_sizes"]
+        ... )
+        ```
+        """
         output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions
         output_hidden_states = (
             output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states