Adding an example for `depth-estimation` pipeline. (#20237)

* Adding an example for `depth-estimation` pipeline.

* Adding missing internal link to tutorial.

src/transformers/pipelines/depth_estimation.py

@@ -24,6 +24,21 @@ class DepthEstimationPipeline(Pipeline):
     """
     Depth estimation pipeline using any `AutoModelForDepthEstimation`. This pipeline predicts the depth of an image.
 
+    Example:
+
+    ```python
+    >>> from transformers import pipeline
+
+    >>> depth_estimator = pipeline(task="depth-estimation", model="Intel/dpt-large")
+    >>> output = depth_estimator("http://images.cocodataset.org/val2017/000000039769.jpg")
+    >>> # This is a tensor with the values being the depth expressed in meters for each pixel
+    >>> output["predicted_depth"].shape
+    torch.Size([1, 384, 384])
+    ```
+
+    [Using pipelines in a webserver or with a dataset](../pipeline_tutorial)
+
+
     This depth estimation pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"depth-estimation"`.