# Multimodal Semantic Understanding
Siglip2 Base Patch16 Naflex
Apache-2.0
SigLIP 2 is a multilingual vision-language encoder that integrates SigLIP's pretraining objectives and introduces new training schemes, enhancing semantic understanding, localization, and dense feature extraction capabilities.
Text-to-Image
Transformers

S
google
10.68k
5
Siglip2 So400m Patch16 512
Apache-2.0
SigLIP 2 is a vision-language model based on SigLIP, enhanced with improved semantic understanding, localization, and dense feature extraction capabilities.
Text-to-Image
Transformers

S
google
46.46k
18
Siglip2 So400m Patch16 384
Apache-2.0
SigLIP 2 is an improved model based on the SigLIP pre-training objective, integrating multiple technologies to enhance semantic understanding, localization, and dense feature extraction capabilities.
Text-to-Image
Transformers

S
google
7,632
2
Siglip2 Giant Opt Patch16 256
Apache-2.0
SigLIP 2 is an advanced vision-language model that integrates multiple technologies to enhance semantic understanding, localization, and dense feature extraction capabilities.
Text-to-Image
Transformers

S
google
3,936
1
Siglip2 Base Patch16 384
Apache-2.0
SigLIP 2 is a vision-language model based on SigLIP, enhancing semantic understanding, localization, and dense feature extraction through a unified training approach.
Image-to-Text
Transformers

S
google
4,832
5
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