Image Classification
Transformers
Safetensors
vit
deep-fake
ViT
detection
Image
transformers-4.49.0.dev0
precision-85.48
v2
Instructions to use shunda012/vit-deepfake-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shunda012/vit-deepfake-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shunda012/vit-deepfake-detector") 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("shunda012/vit-deepfake-detector") model = AutoModelForImageClassification.from_pretrained("shunda012/vit-deepfake-detector") - Notebooks
- Google Colab
- Kaggle
Ctrl+K