Transformers How to use timm/vit_base_patch32_siglip_gap_256.v2_webli with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch32_siglip_gap_256.v2_webli") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("timm/vit_base_patch32_siglip_gap_256.v2_webli", device_map="auto") 
