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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #10273 · 11/10/2025, 01:01 PM

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As we approach the #COP30 summit in Brazil, let’s explore some key facts about climate change together. Each number from 1 to 30 highlights an important theme — covering areas such as energy, adaptation, finance, nature, gender equality, health, and justice. At a time when climate-related misinformation is rapidly increasing, the #ClimateCounts initiative helps improve climate literacy — empowering individuals and communities to take bolder climate action and demand stronger commitments. See them all here: https://feature.undp.org/climate-counts/ #ClimateAction#ClimateCounts ☘️Read the latest environmental news on the @ekologuz page. Follow us and send your suggestions and wishes via @eklguz_bot Instagram | Facebook | Twitter | Sayt | Youtube.

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