Image Classification
Transformers
Safetensors
PyTorch
vit
ViT
real-fake-detection
deep-fake
ai-detect
ai-image-detection
Eval Results (legacy)
Instructions to use jacoballessio/ai-image-detect-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacoballessio/ai-image-detect-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jacoballessio/ai-image-detect-distilled") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("jacoballessio/ai-image-detect-distilled") model = AutoModelForImageClassification.from_pretrained("jacoballessio/ai-image-detect-distilled") - Notebooks
- Google Colab
- Kaggle
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