Transformers How to use hf-internal-testing/tiny-random-clip-zero-shot-image-classification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="hf-internal-testing/tiny-random-clip-zero-shot-image-classification")
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("hf-internal-testing/tiny-random-clip-zero-shot-image-classification")
model = AutoModelForZeroShotImageClassification.from_pretrained("hf-internal-testing/tiny-random-clip-zero-shot-image-classification", device_map="auto") 
