Instructions to use 404-Gen/dinov3-vitl16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 404-Gen/dinov3-vitl16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="404-Gen/dinov3-vitl16-pretrain-lvd1689m")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("404-Gen/dinov3-vitl16-pretrain-lvd1689m") model = AutoModel.from_pretrained("404-Gen/dinov3-vitl16-pretrain-lvd1689m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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# DINOv3 ViT-L/16
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Vision backbone for dense visual features (ViT-L, patch 16). Built with DINOv3.
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# DINOv3 ViT-L/16
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> Original model by Meta AI: [facebookresearch/dinov3](https://github.com/facebookresearch/dinov3)
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Vision backbone for dense visual features (ViT-L, patch 16). Built with DINOv3.
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