How to use Veritone/siglip2-so400m-patch16-384-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Veritone/siglip2-so400m-patch16-384-text") 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("Veritone/siglip2-so400m-patch16-384-text") model = AutoModelForZeroShotImageClassification.from_pretrained("Veritone/siglip2-so400m-patch16-384-text")
