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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
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AIXBT Tokenomics
Key aspects of #AIXBT tokenomics (at the time of writing) include:
Total Supply: 1 billion AIXBT tokens
Circulating Supply: 854 million tokens
Market Capitalisation: $85 million
All-Time High: $0.9426
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