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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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Venture Village Wall 🦄

@venturevillagewall · Post #3744 · 12/29/2024, 01:00 PM

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Five Predictions for On-Chain 2025 Key predictions for 2025 include: 1️⃣ DEX/CEX monthly volume ratio to surpass 20% 2️⃣ One AI agent token projected to hit $10 billion 3️⃣ Emergence of 3-5 new vertical launch tracks based on Pump Fun 4️⃣ At least 5 base tokens expected to be listed on Binance Spot 5️⃣ Hyperliquid to generate over $1 billion in spot opportunities. For details, read more here from Wu Blockchain News. #AI#Crypto#VC#DEX#CEX#Binance#Altcoins#Investments#Token#SpotMarket#VolumeRatio#Blockchain#Predictions#EmergingTrends#Startups#Hyperliquid#PumpFun#MarketOpportunities

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