Update model description

README.md

@@ -6,6 +6,14 @@ This model contains just the `IPUConfig` files for running the ViT base model (e
 
 **This model contains no model weights, only an IPUConfig.** 
 
+## Model description
+
+The Vision Transformer (ViT) is a model for image recognition that employs a Transformer-like architecture over patches of the image which was widely used for NLP pretraining. 
+
+It uses a standard Transformer encoder as used in NLP and simple, yet scalable, strategy works surprisingly well when coupled with pre-training on large amounts of dataset and tranferred to multiple size image recognition benchmarks while requiring substantially fewer computational resources to train. 
+ 
+Paper link : [AN IMAGE IS WORTH 16X16 WORDS:TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE'](https://arxiv.org/pdf/2010.11929.pdf)
+
 ## Usage
 
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