#jupyter_notebook
DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images.
https://github.com/facebookresearch/dinov3
Huge thanks to Cointelegraph for having us on the Chain Reaction AMA 🎙️
In this conversation, Managing Partner of DWF Labs, Andrei Grachev, shares more insights on the #GENIUSAct.
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This is the turning point for institutional crypto.
Read more here.