update checkpoint

README.md

@@ -71,8 +71,8 @@ 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("geetu040/depth-pro-hf")
-model = DepthProForDepthEstimation.from_pretrained("geetu040/depth-pro-hf").to(device)
+image_processor = DepthProImageProcessorFast.from_pretrained("apple/depth-pro-hf")
+model = DepthProForDepthEstimation.from_pretrained("apple/depth-pro-hf").to(device)
 
 inputs = image_processor(images=image, return_tensors="pt").to(device)