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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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@finsignal · Post #3486 · 08/23/2024, 02:06 PM
😎The wrapped #BTC market has attracted close attention. Currently, #WBTC contributes a huge share to the #Ethereum#DeFi ecosystem. There are other options on the market. For example, #Coinbase and #Mantle announced the launch of #cbbc and #BBC. #BTCB, launched by #Binance, and #mBTC, launched by #Merlin, also have market sizes of $3.9 billion and $1.3 billion.