Transformers How to use mulsi/fruit-vegetable-clip-vit-base-patch32 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="mulsi/fruit-vegetable-clip-vit-base-patch32")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForImageClassification
processor = AutoProcessor.from_pretrained("mulsi/fruit-vegetable-clip-vit-base-patch32")
model = AutoModelForImageClassification.from_pretrained("mulsi/fruit-vegetable-clip-vit-base-patch32", device_map="auto") 
