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google/tipsv2-b14

Zero Shot Image Classification·google· 20.2K· 114
transformers apache-2.0 Zero Shot Image Classification 195.9M params arxiv:2604.12012license:apache-2.0

TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the Base variant with 86M vision params and 110M text params. Try the code snippets below or check out the GitHub repo for more use cases and visualizations, including zero-shot segmentation.

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# pull & run locally
pip install mlforge-sdk && mlforge pull google/tipsv2-b14

Model details

Task
Zero Shot Image Classification
Provider
google
Framework
transformers
Parameters
195.9M
Size
748 MB
License
apache-2.0
Downloads
20.2K
Likes
114
Paper
arXiv:2604.12012
Updated
2026-06-27

About google/tipsv2-b14

TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the Base variant with 86M vision params and 110M text params. Try the code snippets below or check out the GitHub repo for more use cases and visualizations, including zero-shot segmentation.

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