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ReasonSigLIP2-go16-384-S1 – AI Model by RISys-Lab | AlphaNeural AI

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RISys-Lab/
ReasonSigLIP2-go16-384-S1

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zero-shot-image-classification

cc-by-nc-sa-4.0

endpoints_compatible

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Model Details

Model: ReasonSigLIP2-go16-384-S1
Base model: google/siglip2-giant-opt-patch16-384
Architecture: SigLIP2 ViT-Giant-Opt/16
Image resolution: 384
Training stage: Stage 1
Training data: ReasonLite-42M

Method

Method overview

Resources

GitHub: RISys-Lab/ReasonCLIP
Paper: arXiv:2606.26794
Playground: ReasonCLIP Playground

Usage

python

from transformers import AutoModel, AutoProcessor

model_id = "RISys-Lab/ReasonSigLIP2-go16-384-S1"
model = AutoModel.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)

For the full checkpoint list, see the ReasonCLIP model card.