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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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@venturevillagewall · Post #3646 · 12/21/2024, 10:24 AM

Accelergen Energy Raises $20M Accelergen Energy has secured $20 million in funding as of December 19, 2024. The firm focuses on delivering clean power assets characterized by robust and sustainable locational value through strategic investments, development, commercialization, and optimized operations. For more details, visit Accelergen Energy. #Accelergen#Energy#Funding#CleanPower#Investment#Sustainability#RenewableEnergy#Development#Commercialization#Operations#ClimateTech#GreenEnergy#Ecosystem#Infrastructure#PowerAssets#Technology#StrategicInvestment#CleanTech#EcoFriendly#LocationalValue