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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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@CoinSonar · Post #243700 · 04/17/2026, 01:54 PM

#BTC | Volume spike (USDT PAIR) 9 times the average volume 127.31M USDT traded in 15 min └Buying vol: 93.99M USDT 🟢 Boost score: 4/10 24h Vol: 1.26B USDT (Binance) Price: 77254.99 (-1.6% in 24h)

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