Update README.md

README.md

@@ -35,10 +35,10 @@ Here is how to use this model:
 
 >>> url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 >>> image = Image.open(requests.get(url, stream=True).raw)
->>> feature_extractor = MaskFormerFeatureExtractor.from_pretrained("facebook/maskformer-swin-base-ade")
+>>> feature_extractor = MaskFormerFeatureExtractor.from_pretrained("facebook/maskformer-swin-large-ade")
 >>> inputs = feature_extractor(images=image, return_tensors="pt")
 
->>> model = MaskFormerForInstanceSegmentation.from_pretrained("facebook/maskformer-swin-base-ade")
+>>> model = MaskFormerForInstanceSegmentation.from_pretrained("facebook/maskformer-swin-large-ade")
 >>> outputs = model(**inputs)
 >>> # model predicts class_queries_logits of shape `(batch_size, num_queries)`
 >>> # and masks_queries_logits of shape `(batch_size, num_queries, height, width)`