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