Update README.md

README.md

@@ -32,14 +32,17 @@ You can use the raw model to embed images, but it's mostly intended to be fine-t
 Here is how to use this model:
 
 ```python
-from transformers import ViTFeatureExtractor, ViTModel
+from transformers import ViTImageProcessor, ViTModel
 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 = ViTFeatureExtractor.from_pretrained('google/vit-large-patch16-224-in21k')
+
+processor = ViTImageProcessor.from_pretrained('google/vit-large-patch16-224-in21k')
 model = ViTModel.from_pretrained('google/vit-large-patch16-224-in21k')
-inputs = feature_extractor(images=image, return_tensors="pt")
+
+inputs = processor(images=image, return_tensors="pt")
 outputs = model(**inputs)
 last_hidden_state = outputs.last_hidden_state
 ```