SigLIP2
Zero‑shot image‑text similarity and classification using SigLIP2.
SigLIP2 (Sigmoid Loss for Language‑Image Pre‑training 2) is a vision‑language model from Google that computes cosine‑similarity scores between images and text prompts. It can be used for zero‑shot image classification, image search, and content moderation without any task‑specific fine‑tuning.
Not supported
This model is currently not supported on any Mobile chipset.
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View for other chipsetsTechnical Details
Image input resolution:224x224
Model checkpoint:google/siglip2-base-patch16-224
Model size (image_encoder) (float):352 MB
Model size (image_encoder) (w8a16):92.8 MB
Model size (text_encoder) (float):1.05 GB
Model size (text_encoder) (w8a16):461 MB
Text sequence length:64
Applicable Scenarios
- Image Search
- Content Moderation
- Zero-Shot Classification
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:APACHE-2.0
Tags
- foundation
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy S26
- Samsung Galaxy S26 Ultra
- Samsung Galaxy S26+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon 8 Elite QRD
- Xiaomi 12
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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