 Usage  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 LevitFeatureExtractor, LevitForImageClassificationWithTeacher 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 = LevitFeatureExtractor.from_pretrained('facebook/levit-128S') model = LevitForImageClassificationWithTeacher.from_pretrained('facebook/levit-128S')  inputs = feature_extractor(images=image, return_tensors="pt") outputs = model(**inputs) logits = outputs.logits 