dinov3_vit_small_plus_lvd1689m

keras/dinov3_vit_small_plus_lvd1689m

dinov3_vit_small_plus_lvd1689m is a machine learning model from keras. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras-hub.

Vision Transformer (ViT) and ConvNeXt models trained using the DINOv3 method.

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At a glance

Library: keras-hub
Access: Public
Created: Dec 18, 2025
Updated: Feb 26, 2026
SHA: 7da0e556

Model card

From the Hugging Face model README

Model Overview

Vision Transformer (ViT) and ConvNeXt models trained using the DINOv3 method.

Reference

DINOv3: Learning Robust Visual Features without Supervision

DINOv3 offers a powerful, generalist visual backbone learned entirely from unlabeled images as described in DINOv3: Learning Robust Visual Features without Supervision.

Installation

Keras and KerasHub can be installed with:

pip install -U -q keras-hub
pip install -U -q keras

Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the Keras Getting Started page.

Presets

The following model checkpoints are provided by the Keras team. Weights have been ported from: https://huggingface.co. Full code examples for each are available below.

Preset name	Parameters	Description
dinov3_vit_small_lvd1689m	21.6M	Vision Transformer (small-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_small_plus_lvd1689m	29M	Vision Transformer (small-plus-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_base_lvd1689m	86M	Vision Transformer (base-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_large_lvd1689m	300M	Vision Transformer (large-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_huge_plus_lvd1689m	840M	Vision Transformer (huge-plus-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_7b_lvd1689m	6.7B	Vision Transformer (7B-sized model) trained on LVD-1689M using DINOv3.
dinov3_vit_large_sat493m	300M	Vision Transformer (large-sized model) trained on SAT-493M using DINOv3.
dinov3_vit_7b_sat493m	6.7B	Vision Transformer (7B-sized model) trained on SAT-493M using DINOv3.

All the models weights are under DINO V3 license: https://ai.meta.com/resources/models-and-libraries/dinov3-license/

Library: keras-hub
Created: Dec 18, 2025
Updated: Feb 26, 2026