Update README.md

README.md

@@ -31,11 +31,11 @@ You can use the raw model for semantic segmentation. See the [model hub](https:/
 Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
 
 ```python
-from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
+from transformers import SegformerImageProcessor, SegformerForSemanticSegmentation
 from PIL import Image
 import requests
 
-feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512")
+processor = SegformerImageProcessor.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512")
 model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512")
 
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"