How to use m-toman/siglip2-base-patch32-256-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="m-toman/siglip2-base-patch32-256-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("m-toman/siglip2-base-patch32-256-text") model = AutoModelForZeroShotImageClassification.from_pretrained("m-toman/siglip2-base-patch32-256-text")
The community tab is the place to discuss and collaborate with the HF community!
