Transformers How to use timm/vit_base_patch16_siglip_gap_384.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_patch16_siglip_gap_384.v2_webli") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModel
processor = AutoImageProcessor.from_pretrained("timm/vit_base_patch16_siglip_gap_384.v2_webli")
model = AutoModel.from_pretrained("timm/vit_base_patch16_siglip_gap_384.v2_webli", device_map="auto") 
