ataset.org/val2017/000000039769.jpg"
        >>> image = Image.open(requests.get(url, stream=True).raw)

        >>> image_processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-small")
        >>> model = ViTMSNForImageClassification.from_pretrained("facebook/vit-msn-small")

        >>> inputs = image_processor(images=image, return_tensors="pt")
        >>> with torch.no_grad():
        ...     logits = model(**inputs).logits
        >>> # model predicts one of the 1000 ImageNet classes
        >>> predicted_label = logits.argmax(-1).item()
        >>> print(model.config.id2label[predicted_label])
        Kerry blue terrier
        ```N)