How to use fal/SigLIP2-SO400M-Patch16-NaFlex-FlashPack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="fal/SigLIP2-SO400M-Patch16-NaFlex-FlashPack") 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("fal/SigLIP2-SO400M-Patch16-NaFlex-FlashPack") model = AutoModelForZeroShotImageClassification.from_pretrained("fal/SigLIP2-SO400M-Patch16-NaFlex-FlashPack", device_map="auto")
