Transformers How to use dleemiller/siglip2-math-base-patch16-256 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="dleemiller/siglip2-math-base-patch16-256")
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("dleemiller/siglip2-math-base-patch16-256")
model = AutoModelForZeroShotImageClassification.from_pretrained("dleemiller/siglip2-math-base-patch16-256", device_map="auto") 
