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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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AI match predictions

@ai_match_prediction · Post #11583 · 04/18/2026, 05:05 PM

Chile Primera División🇨🇱 2026-04-18 21:30 UTC Everton de Vina vs. Universidad de Chile Predicted outcome: Universidad de Chile❌ Predicted score: 0:1 Actual: Draw 0:0 #EvertondeVina#UniversidaddeChile 2026-04-19 00:00 UTC Concepción vs. D. La Serena Predicted outcome: Draw✅ Predicted score: 1:1 Actual: Draw 3:3 #Concepcin#DLaSerena #Football#ChilePrimeraDivisión

AI match predictions

@ai_match_prediction · Post #11330 · 04/05/2026, 01:05 PM

Chile Primera División🇨🇱 2026-04-05 19:30 UTC Concepción vs. Colo Colo Predicted outcome: Colo Colo✅ Predicted score: 0:1 Actual: Colo Colo 0:1 #Concepcin#ColoColo 2026-04-05 22:00 UTC Universidad de Chile vs. D. La Serena Predicted outcome: Universidad de Chile✅ Predicted score: 2:1 Actual: Universidad de Chile 4:0 #UniversidaddeChile#DLaSerena #Football#ChilePrimeraDivisión