Update README.md

README.md

@@ -59,7 +59,7 @@ The model card has been written in combination by the Hugging Face team and Inte
 Here is how to use this model for zero-shot depth estimation on an image:
 
 ```python
-from transformers import DPTFeatureExtractor, DPTForDepthEstimation
+from transformers import DPTImageProcessor, DPTForDepthEstimation
 import torch
 import numpy as np
 from PIL import Image
@@ -68,11 +68,11 @@ import requests
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
 
-feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large")
+processor = DPTImageProcessor.from_pretrained("Intel/dpt-large")
 model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
 
 # prepare image for the model
-inputs = feature_extractor(images=image, return_tensors="pt")
+inputs = processor(images=image, return_tensors="pt")
 
 with torch.no_grad():
     outputs = model(**inputs)