Update README.md

README.md

@@ -34,7 +34,7 @@ fine-tuned versions on a task that interests you.
 Here is how to use this model:
 
 ```python
-from transformers import GLPNFeatureExtractor, GLPNForDepthEstimation
+from transformers import GLPNImageProcessor, GLPNForDepthEstimation
 import torch
 import numpy as np
 from PIL import Image
@@ -43,11 +43,11 @@ import requests
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
 
-feature_extractor = GLPNFeatureExtractor.from_pretrained("vinvino02/glpn-nyu")
+processor = GLPNImageProcessor.from_pretrained("vinvino02/glpn-nyu")
 model = GLPNForDepthEstimation.from_pretrained("vinvino02/glpn-nyu")
 
 # 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)