Transformers How to use p1atdev/siglip2-base-patch16-384-vision with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-feature-extraction", model="p1atdev/siglip2-base-patch16-384-vision") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("p1atdev/siglip2-base-patch16-384-vision")
model = AutoModel.from_pretrained("p1atdev/siglip2-base-patch16-384-vision", device_map="auto") 
