Transformers How to use bn22/vit_medium_patch28_rope_reg4_gap_224 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="bn22/vit_medium_patch28_rope_reg4_gap_224", trust_remote_code=True)
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bn22/vit_medium_patch28_rope_reg4_gap_224", trust_remote_code=True, device_map="auto") 
import timm model = timm.create_model("hf_hub:bn22/vit_medium_patch28_rope_reg4_gap_224", pretrained=True)