diff --git a/README.md b/README.md
index 023d311..35a8292 100644
--- a/README.md
+++ b/README.md
@@ -32,13 +32,13 @@ fine-tuned versions on a task that interests you.
 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 BEiTFeatureExtractor, BEiTForImageClassification
+from transformers import BeitFeatureExtractor, BeitForImageClassification
 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 = BEiTFeatureExtractor.from_pretrained('microsoft/beit-base-patch16-224-pt22k-ft22k')
-model = BEiTForImageClassification.from_pretrained('microsoft/beit-base-patch16-224-pt22k-ft22k')
+feature_extractor = BeitFeatureExtractor.from_pretrained('microsoft/beit-base-patch16-224-pt22k-ft22k')
+model = BeitForImageClassification.from_pretrained('microsoft/beit-base-patch16-224-pt22k-ft22k')
 inputs = feature_extractor(images=image, return_tensors="pt")
 outputs = model(**inputs)
 logits = outputs.logits