readme: ---
  license: apache-2.0
  ---
  
  Use at your own risk:
  
  ```python
  from transformers import AutoFeatureExtractor, AutoModelForImageClassification
  from datasets import load_dataset
  import torch
  
  feature_extractor = AutoFeatureExtractor.from_pretrained("fxmarty/tiny-testing-remote-code")
  
  model = AutoModelForImageClassification.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True)
  
  dataset = load_dataset("huggingface/cats-image")
  image = dataset["test"]["image"][0]
  
  inputs = feature_extractor(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])
  ```
  