readme: ### How to use
  Here is how to use this model in PyTorch:
  ```python
  from transformers import PerceiverFeatureExtractor, PerceiverForImageClassificationLearned
  import requests
  from PIL import Image
  feature_extractor = PerceiverFeatureExtractor.from_pretrained("addy88/perceiver_image_classifier")
  model = PerceiverForImageClassificationLearned.from_pretrained("addy88/perceiver_image_classifier")
  url = "http://images.cocodataset.org/val2017/000000039769.jpg"
  image = Image.open(requests.get(url, stream=True).raw)
  # prepare input
  encoding = feature_extractor(image, return_tensors="pt")
  inputs = encoding.pixel_values
  # forward pass
  outputs = model(inputs)
  logits = outputs.logits
  print("Predicted class:", model.config.id2label[logits.argmax(-1).item()])
  >>> should print Predicted class: tabby, tabby cat
  ```