Instructions to use DarkVision/Deepfake_detection_image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarkVision/Deepfake_detection_image with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DarkVision/Deepfake_detection_image") 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("DarkVision/Deepfake_detection_image") model = AutoModelForImageClassification.from_pretrained("DarkVision/Deepfake_detection_image", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ff2aa8a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1e8d19703da0c69d641a6b89f2177e3aec8b1bdf5efdbb94ee8497fc5935ce47
size 4027
|