 How to use  Here is how to use this model:  ```python >>> from transformers import AutoFeatureExtractor, RegNetForImageClassification >>> import torch >>> from datasets import load_dataset  >>> dataset = load_dataset("huggingface/cats-image") >>> image = dataset["test"]["image"][0]  >>> feature_extractor = AutoFeatureExtractor.from_pretrained("zuppif/regnet-y-040") >>> model = RegNetForImageClassification.from_pretrained("zuppif/regnet-y-040")  >>> inputs = feature_extractor(image, return_tensors="pt")  >>> with torch.no_grad(): ...     logits = model(**inputs).logits  >>> 