Transformers How to use timm/vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="timm/vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("timm/vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k", device_map="auto") 
