Update README.md

README.md

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 ---
 license: mit
+library_name: keras
+tags:
+- vision transformer
+- computervision
+- multimodal transformer
 ---
 
 # Transformers and Vision Transformer (ViT)
@@ -44,4 +49,4 @@ The training process involves initializing the model with random weights and ite
 
 ## Conclusion
 
-Transformers, including the Vision Transformer (ViT), have revolutionized both natural language processing and computer vision. Their ability to capture long-range dependencies and process input sequences in parallel has made them highly effective for a wide range of tasks. With ongoing research, transformers continue to push the boundaries of AI in various domains.
+Transformers, including the Vision Transformer (ViT), have revolutionized both natural language processing and computer vision. Their ability to capture long-range dependencies and process input sequences in parallel has made them highly effective for a wide range of tasks. With ongoing research, transformers continue to push the boundaries of AI in various domains.