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siglip2-so400m-patch16-384
gwkrsrch/siglip2-so400m-patch16-384
siglip2-so400m-patch16-384 is a image feature extraction model from gwkrsrch. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is a modified version of google/siglip2-so400m-patch16-384 with preprocessing configurations adjusted for compatibility with MambaMia.
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At a glance
- Task
- Image Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- siglip_vision_model
- Access
- Public
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026
- SHA
- cb27c26a
Base models
Model card
From the Hugging Face model README
SigLIP 2 So400m Patch16 384 (MambaMia Compatible)
This is a modified version of google/siglip2-so400m-patch16-384 with preprocessing configurations adjusted for compatibility with MambaMia.
Modifications
The only modification from the original model is in preprocessor_config.json to ensure compatibility with the MambaMia framework. The model weights remain unchanged.
Original Model
- Base Model: google/siglip2-so400m-patch16-384
- Developed by: Google
- Model type: Vision Encoder (SigLIP 2)
- License: Apache 2.0
Usage
This model is intended to be used as a vision encoder within the MambaMia framework. Please refer to the MambaMia repository for detailed usage instructions.
Citation
If you use this model, please cite the original SigLIP 2 paper and MambaMia:
@article{tschannen2025siglip,
title={SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features},
author={Tschannen, Michael and others},
journal={arXiv preprint},
year={2025}
}
License
This model is released under the Apache 2.0 License, following the original model's license.
- Task
- Image Feature Extraction
- Library
- transformers
- Type
- siglip_vision_model
- License
- apache-2.0
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026