How to use apple/DFN-public with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="apple/DFN-public") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("apple/DFN-public") model = AutoModelForZeroShotImageClassification.from_pretrained("apple/DFN-public", device_map="auto")
https://huggingface.co/apple/DFN-public/resolve/main/vocab.json
hf download hf://apple/DFN-public/vocab.json
curl -L -o vocab.json https://huggingface.co/apple/DFN-public/resolve/main/vocab.json
