How to use 2dameneko/neko-pickscore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="2dameneko/neko-pickscore") 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("2dameneko/neko-pickscore") model = AutoModelForZeroShotImageClassification.from_pretrained("2dameneko/neko-pickscore", device_map="auto")
