Instructions to use prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/AI-vs-Deepfake-vs-Real-Siglip2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ddf413f5b7588cc5d22067e802c688754bcf949610f700a4014cd4090c4b5e0
- Size of remote file:
- 5.3 kB
- SHA256:
- 03e327fbb13b26fca49c2cf040cabbe949164fb3ac1b9250cdd17017081319ce
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