Image Classification
Transformers
Safetensors
swin-frequency-hybrid
deepfake-detection
synthetic-image-detection
swin-transformer
frequency-analysis
Instructions to use SadraCoding/SDXL-Deepfake-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SadraCoding/SDXL-Deepfake-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SadraCoding/SDXL-Deepfake-Detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import SwinFrequencyHybridDetector model = SwinFrequencyHybridDetector.from_pretrained("SadraCoding/SDXL-Deepfake-Detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle