# 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")Quick Links
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Key notes
- Loss: 0.1021
- Accuracy: 0.9604
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# 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")