How to use prithivMLmods/SigLIP2-ImageShield-2n-large-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/SigLIP2-ImageShield-2n-large-256") 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/SigLIP2-ImageShield-2n-large-256") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/SigLIP2-ImageShield-2n-large-256", device_map="auto")
https://huggingface.co/prithivMLmods/SigLIP2-ImageShield-2n-large-256/resolve/main/assets/prediction_accuracy_pie.png
hf download hf://prithivMLmods/SigLIP2-ImageShield-2n-large-256/assets/prediction_accuracy_pie.png
curl -L -o prediction_accuracy_pie.png https://huggingface.co/prithivMLmods/SigLIP2-ImageShield-2n-large-256/resolve/main/assets/prediction_accuracy_pie.png
