update some meta data, correct the code (to avoid deprecation warning)

README.md

@@ -12,6 +12,10 @@ widget:
   example_title: Teapot
 - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
   example_title: Palace
+language:
+- en
+library_name: adapter-transformers
+pipeline_tag: image-segmentation
 ---
 
 # DPT (large-sized model) fine-tuned on ADE20k
@@ -36,14 +40,14 @@ fine-tuned versions on a task that interests you.
 Here is how to use this model:
 
 ```python
-from transformers import DPTFeatureExtractor, DPTForSemanticSegmentation
+from transformers import DPTImageProcessor , DPTForSemanticSegmentation
 from PIL import Image
 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-ade")
+feature_extractor = DPTImageProcessor.from_pretrained("Intel/dpt-large-ade")
 model = DPTForSemanticSegmentation.from_pretrained("Intel/dpt-large-ade")
 
 inputs = feature_extractor(images=image, return_tensors="pt")