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Siglip2 So400m Patch16 384

This is a modified version of google/siglip2-so400m-patch16-384 with preprocessing configurations adjusted for compatibility with MambaMia.

ArtCLIP visionBasismodellgoogle/siglip2-so400m-patch16-384VersionFP32BBewertung

Modellquelle

Art
CLIP vision
Dateigröße
1,60 GB
Basismodell
google/siglip2-so400m-patch16-384
Version
vFP32
Aktualisiert
2. Nov. 2026
Downloads
8
Quelle
Hugging Face

Quellenbeschreibung

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

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.

Quellen

1 Quelle
Hugging FacePrimärVersion cb27c26a87b8a1e76132e69bd7ec75f1c2742384
huggingface.co/gwkrsrch/siglip2-so400m-patch16-384/tree/cb27c26a87b8a1e76132e69bd7ec75f1c2742384

Verifiziert 2. Nov.

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Repository files

File inventory only; completeness is unverified.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · FP32 (unverified) · 1,60 GB · SHA-256 5c183e0d156a…c611 · Hugging Face

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Quellenauszüge

3 Auszüge

--- library_name: transformers license: apache-2.0 base_model: google/siglip2-so400m-patch16-384 tags: - vision - image-encoder - siglip - siglip2 --- # SigLIP 2 So400m Patch16 384 (MambaMia Compatible) This is a modified version of [google/siglip2-so400m-patch16-384](https://huggingface.co/google/siglip2-so400m-patch16-384) with preprocessing configurations adjusted for compatibility with [MambaMia](https://github.com/naver-ai/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](https://huggingface.co/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](https://github.com/naver-ai/mambamia) for detailed usage instructions. ## Citation If you use this model, please cite the original SigLIP 2 paper and MambaMia: ```bibtex @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](https://www.apache.org/licenses/LICENSE-2.0), following the original model's license.

Source context: 8 downloads · 0 likes · Pipeline image-feature-extraction · Library transformers · Repo gwkrsrch/siglip2-so400m-patch16-384

Source context: 5 downloads · 0 likes · Pipeline image-feature-extraction · Library transformers · Repo gwkrsrch/siglip2-so400m-patch16-384