# Use a pipeline as a high-level helperfrom transformers import pipeline
pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-SiglipForImageClassification")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directlyfrom transformers import AutoProcessor, AutoModelForImageClassification
processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SiglipForImageClassification")
model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-SiglipForImageClassification")
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-SiglipForImageClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")