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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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​​🎙DINOWARS MOON SHEET announcement What do I already know about the project: 👇 1️⃣Upcoming announce of launch at more than 20+ launchpads 2️⃣Attracted the attention of DAO Maker and received an invitation to run with them 3️⃣Preparing listing at ByBit 4️⃣The community is so crazy that they get tattoos with characters from the game 5️⃣Launch of the game is very soon (I’ve already seen the insides) 6️⃣Now they've started to actively swing, preparing contests (with cash prizes) and some major movement ✅About DINOWARS token metric - Token name: #DINV - IDO price: 0,25$ - Initial price: 0,4$ - Total Supply: 50,000,000 $DINV - Listing: July - August 👉 JOIN NOW #DINOWAR#DINV#IDO#Listing#DAOMAKER#Pinkasale#BYBIT#Fundraising