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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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​​🎙The devs behind @CryowarDevs are coming to #gamescom2022, bringing you a first-hand gameplay experience of the #UE5 game! 👉 Check out Cryowar at Gamescop:https://www.gamescom.global/en 👉 Follow Cryowar:https://twitter.com/CryowarDevs 👉 Follow Gamescop:https://twitter.com/gamescom #aheadofthegame#cryowar

​​We are super happy to announce that #Cryowar is releasing Technical Beta Version 1.0. 250 fellow #Cryowarriors from our #BestCommunityEver will have initial access to review our amazing #UnrealEngine designs and mechanics. Stay tuned for further information next week! $CWAR #Moon

🎙Our 100x project announcement🔥🔥🔥 🤌 Probably best project 2021 and 2022 Team working on NFT fast and here is some updates of work, check it 👉here👈 Our Fellow Cryowarriors, ⚔️⚔️⚔️ A little #CWARistmas sneak peak $CWAR #Cryowar#NFTs#NFT#BestCommunityEver🔥🔥🔥🔥 #CWAR