Transformers How to use V0ltron/vit-base-patch16-224-finetuned-largerDataSet-docSeperator-more-labels-all-apache2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="V0ltron/vit-base-patch16-224-finetuned-largerDataSet-docSeperator-more-labels-all-apache2")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("V0ltron/vit-base-patch16-224-finetuned-largerDataSet-docSeperator-more-labels-all-apache2")
model = AutoModelForImageClassification.from_pretrained("V0ltron/vit-base-patch16-224-finetuned-largerDataSet-docSeperator-more-labels-all-apache2") 
