Transformers How to use timm/xception65p.ra3_in1k with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="timm/xception65p.ra3_in1k")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("timm/xception65p.ra3_in1k", dtype="auto") 
