Image Classification
Transformers
Safetensors
English
siglip
OpenSDI
Spotting Diffusion-Generated Images in the Open World
SD3
AI-vs-Real
SigLIP2
Instructions to use prithivMLmods/OpenSDI-SD3-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/OpenSDI-SD3-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/OpenSDI-SD3-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/OpenSDI-SD3-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/OpenSDI-SD3-SigLIP2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature4fd2713 -
Update README.md
Verified signature31a7d44 -
Update README.md
Verified signatureb0b9a17 -
Update README.md
Verified signature4af6e0d -
Upload folder using huggingface_hub
Verified signature9c64ff1 -
Update README.md
Verified signaturef76887e -
initial commit
Verified signature96f8bd0