Transformers How to use RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV65 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV65")
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("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV65")
model = AutoModelForImageClassification.from_pretrained("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV65") 
