Transformers How to use Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation")
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("Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation")
model = AutoModelForImageClassification.from_pretrained("Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation") 
