Instructions to use prithivMLmods/Deepfake-Detect-Siglip2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Deepfake-Detect-Siglip2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Deepfake-Detect-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/Deepfake-Detect-Siglip2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Deepfake-Detect-Siglip2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5aa996b6ce3b49353e21048ab403f52ff4700102c8897800205f216614462fb
- Size of remote file:
- 372 MB
- SHA256:
- 695eadd307b1f81e97b4e36cd178b5e96100d2fe947ed1b144fb45b423761f99
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