Update Model Card: Use `DepthProImageProcessor` instead of `DepthProImageProcessorFast`

With `transformers v5`, the `Fast` image processor variants are no longer exposed through separate prefixes. As a result, `DepthProImageProcessorFast` is now used by default when calling `DepthProImageProcessor`.

This PR updates the documentation to reflect the new behavior.

README.md

@@ -66,14 +66,14 @@ Use the code below to get started with the model.
 import requests
 from PIL import Image
 import torch
-from transformers import DepthProImageProcessorFast, DepthProForDepthEstimation
+from transformers import DepthProImageProcessor, DepthProForDepthEstimation
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 url = 'https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg'
 image = Image.open(requests.get(url, stream=True).raw)
 
-image_processor = DepthProImageProcessorFast.from_pretrained("apple/DepthPro-hf")
+image_processor = DepthProImageProcessor.from_pretrained("apple/DepthPro-hf")
 model = DepthProForDepthEstimation.from_pretrained("apple/DepthPro-hf").to(device)
 
 inputs = image_processor(images=image, return_tensors="pt").to(device)