How to use bn22/siglip2vision-small-patch16-naflex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bn22/siglip2vision-small-patch16-naflex") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("bn22/siglip2vision-small-patch16-naflex") model = AutoModelForImageClassification.from_pretrained("bn22/siglip2vision-small-patch16-naflex", device_map="auto")
