Update README.md

README.md

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----
-license: mit
-datasets:
-- ILSVRC/imagenet-1k
-language:
-- en
-tags:
-- image-classification
-- transformers
-- vit
-- vision transformer
-- tensorflow
-- vision
-metrics:
-- bleu
-library_name: transformers
-pipeline_tag: image-classification
----
 
 Model Overview:
 The Vision Transformer (ViT) is a transformer encoder model designed for image recognition tasks. It was pretrained on a large dataset of 14 million images and 21,843 classes known as ImageNet-21k, and fine-tuned on ImageNet 2012, which consists of 1 million images across 1,000 classes.