 How to use  Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:  ```python from transformers import ViTFeatureExtractor, ViTForImageClassification from PIL import Image import requests url = 'http://images.cocodataset.org/val2017/000000039769.jpg' image = Image.open(requests.get(url, stream=True).raw) feature_extractor = ViTFeatureExtractor.from_pretrained('google/vit-large-patch32-384') model = ViTForImageClassification.from_pretrained('google/vit-large-patch32-384') inputs = feature_extractor(images=image, return_tensors="pt") outputs = model(**inputs) logits = outputs.logits 