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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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@rushousebrussels · Post #2085 · 08/27/2024, 01:19 PM

🔊Sound on ☕ please, repeat Привет! Tired of learning Russian? Great news for you today then: we have thousands of words that are similar to English ones! Let’s start with those relating to food! Notice that the pronunciation is not always similar, so watch out for those accents! Still, learning Russian versions of the words you already know is far easier than learning absolutely new ones 🙂 That’s not the end of the list! Do you have any more examples? Drop them down in the comments! 👇🏼 Credits: Westend61, Aleksandr Kuzmin, Martin Barraud, serggn, Chris Stein, Halfdark/Getty Images Sourse: Russia Beyond https://t.me/russiabeyond/8927 #russianclasses#russianbeyond#РусскийДом#RussianHouse#Образование#КРЯ#brussels#belgium#educationrussia#RussianHouseBrussels#russianlanguagecoursesbrussels#russianlanguage#learnrussian#studyrussian