Image classification using transformers

ViT is a good option for classifying images using transformers. Pretrained models for this transformer model already exist and it is very easy and convenient to use them. Follow these steps:

1. To use ViT, you can simply import it from the transformers library and load the preprocessor and the model itself:

   from transformers import (
       ViTForImageClassification, ViTImageProcessor)
   model = ViTForImageClassification.from_pretrained(
       'google/vit-base-patch16-224')
   processor = ViTImageProcessor.from_pretrained(
       'google/vit-base-patch16-224')

2. You also need to load the image. In our case, we will download and load a sample image:

   from PIL import Image
   import requests
   url = 'http://images.cocodataset.org/val2017/000000439715.jpg'
   image = Image.open(requests.get(url, stream=True).raw)

   This will load a sample image from the coco dataset.

3. Using a...