How to use Hemgg/AI-vs-Real-Image-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hemgg/AI-vs-Real-Image-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Hemgg/AI-vs-Real-Image-Detection") model = AutoModelForImageClassification.from_pretrained("Hemgg/AI-vs-Real-Image-Detection", device_map="auto")
