Transformers How to use google/siglip2-base-patch32-256 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="google/siglip2-base-patch32-256")
pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
candidate_labels=["animals", "humans", "landscape"],
) # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("google/siglip2-base-patch32-256", device_map="auto") 
