Transformers How to use ciderlab/siglip2-design-discriminator-backbone with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="ciderlab/siglip2-design-discriminator-backbone")
pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
candidate_labels=["animals", "humans", "landscape"],
) # Load model directly
from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
processor = AutoProcessor.from_pretrained("ciderlab/siglip2-design-discriminator-backbone")
model = AutoModelForZeroShotImageClassification.from_pretrained("ciderlab/siglip2-design-discriminator-backbone") 
