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Source channel @githubtrending · Post #15365 · Dec 24

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#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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Pocket Rocket Announcement

@pocket_rocket_game · Post #12 · 05/28/2024, 10:04 AM

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🚀Our spaceship is on its way to success 🚀 And we believe that each of you can help us reach new heights. That’s why we are launching a content creation activity! The participants will receive 500,000 crystal rocks each for their videos. We will also select the best-performing entries and reward them with WBT. 📲You can join the activity on Instagram, TikTok, X (Twitter), or YouTube. Fill out this form to participate. Read more about the activity here. ⚡️ Don’t forget to use the #PocketRocket hashtag when publishing your content. We can’t wait to see your content! Play | Announcements | Telegram Chat | Twitter |

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