How to use HuggingFaceM4/tiny-random-siglip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="HuggingFaceM4/tiny-random-siglip", trust_remote_code=True) 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("HuggingFaceM4/tiny-random-siglip", trust_remote_code=True) model = AutoModelForZeroShotImageClassification.from_pretrained("HuggingFaceM4/tiny-random-siglip", trust_remote_code=True)
The community tab is the place to discuss and collaborate with the HF community!
