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Source channel @githubtrending · Post #15365 · Dec 24

#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

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Crypto M - Crypto News

@CryptoM · Post #65270 · 04/12/2026, 01:09 PM

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🚀 StarkWare Researcher Proposes Complex Bitcoin Transaction Scheme StarkWare researcher Avihu Mordechai Levy has introduced a Bitcoin transaction scheme that aims to circumvent the need for a protocol change. According to NS3.AI, the proposed method involves solving a pre-broadcast puzzle, which would necessitate approximately 70 trillion attempts. Levy characterized this design as a last-resort solution due to its significant computational demands, large transaction size, and potential relay-policy challenges, all of which could hinder scalability. #StarkWare#Bitcoin#transaction#AvihuMordechaiLevy#protocol#computationaldemands#scalability#relaypolicy#BTC

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