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PS3 Lang 4K SigLIP2

PS3Lang-4K-SigLIP2 is a vision encoder that extracts visual features from images of up to 4K resolution.

ArtOtherBasismodellgoogle/siglip2-so400m-patch14-384VersionRevision b137365BBewertung

Modellquelle

Art
Other
Dateigröße
1,07 GB
Basismodell
google/siglip2-so400m-patch14-384
Version
vRevision b137365
Aktualisiert
17. Sept. 2026
Downloads
79
Quelle
Hugging Face

Quellenauszug

PS3Lang-4K-SigLIP2 is a vision encoder that extracts visual features from images of up to 4K resolution.

Quellen

1 Quelle
Hugging FacePrimärVersion b1373655efba3fb33532da73930767154597e86e
huggingface.co/nvidia/PS3_Lang-4K-SigLIP2/tree/b1373655efba3fb33532da73930767154597e86e

Verifiziert 2. Sept.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 1,07 GB · SHA-256 57890c5f6480…895f · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: cc-by-nc-sa-4.0 language: - en base_model: - google/siglip2-so400m-patch14-384 pipeline_tag: image-feature-extraction --- ## Description: <br> PS3_Lang-4K-SigLIP2 is a vision encoder that extracts visual features from images of up to 4K resolution. This model is for research and development only. ### License/Terms of Use: <br> Governing Terms: [CC-BY-NC-SA-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). Additional Information: [Apache License 2.0](https://choosealicense.com/licenses/apache-2.0/) for [Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct). ### Deployment Geography: Global ### Use Case: <br> The model is used for extracting visual features from high-resolution images. ### Release Date: <br> Huggingface [07/26/2025] via [https://huggingface.co/nvidia/PS3_Lang-4K-SigLIP2] <br> ## Reference(s): The model is from the paper [Scaling Vision Pre-Training to 4K Resolution](https://arxiv.org/abs/2503.19903). Useful links: [![website](https://img.shields.io/badge/website-76b900?style=for-the-badge&logo=safari&labelColor=555555)](https://nvlabs.github.io/PS3/) [![Arxiv](https://img.shields.io/badge/Arxiv-b31b1b?style=for-the-badge&logo=arxiv&labelColor=555555)](https://arxiv.org/abs/2503.19903) [![VILA-HD Demo](https://img.shields.io/badge/-VILA--HD_Demo-brightgreen?style=for-the-badge&logo=huggingface&labelColor=555555&color=ff6e00)](https://huggingface.co/spaces/bfshi/VILA-HD-demo) [![PS3 Models](https://img.shields.io/badge/PS3%20Models%20-ffd21e?style=for-the-badge&logo=huggingface&labelColor=555555)](https://huggingface.co/collections/nvidia/ps3-scaling-vision-pre-training-to-4k-resolution-682d0535b61c07afd45242e9) [![VILA-HD Models](https://img.shields.io/badge/VILA--HD%20Models%20-ffd21e?style=for-the-badge&logo=huggingface&labelColor=555555)](https://huggingface.co/collections/nvidia/ps3-scaling-vision-pre-training-to-4k-resolution-682d0535b61c07afd45242e9) [![PS3 Code](https://img.shields.io/badge/PS3%20Code%20-181717?style=for-the-badge&logo=github&labelColor=555555)](https://github.com/NVlabs/PS3) ## Model Architecture: **Architecture Type:** Neural Network **Network Architecture:** Vision Transformer designed for high-resolution images This model was developed based on [SigLIP2](https://huggingface.co/google/siglip2-so400m-patch14-384). Please see training designs in the paper...

Source context: 79 downloads · 1 likes · Pipeline image-feature-extraction · Repo nvidia/PS3_Lang-4K-SigLIP2