Update README.md

README.md

@@ -13,7 +13,7 @@ Disclaimer: The team releasing DINOv2 did not write a model card for this model
 
 ## Model description
 
-The Vision Transformer (ViT) is a transformer encoder model (BERT-like) pretrained on a large collection of images in a self-supervised fashion at a resolution of 224x224 pixels. 
+The Vision Transformer (ViT) is a transformer encoder model (BERT-like) pretrained on a large collection of images in a self-supervised fashion. 
 
 Images are presented to the model as a sequence of fixed-size patches, which are linearly embedded. One also adds a [CLS] token to the beginning of a sequence to use it for classification tasks. One also adds absolute position embeddings before feeding the sequence to the layers of the Transformer encoder.