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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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#Syria🇸🇾: #Druze militias posing with captured "General Security Service" (former #HTS) vehicles in Tal Hadid, west of #Sweida (#Suwayda). Some of the Druze fighters can be seen with a #Hungary-made 🇭🇺 AK-63D rifle, Soviet AKS-74U carbine and PG-7VM Anti-Tank rocket. https://x.com/war_noir/status/1951991045517877364