# 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")Quick Links
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google/siglip2-base-patch16-384
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="p1atdev/siglip2-base-patch16-384-vision")