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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
#0G🚀 looks primed for a MASSIVE breakout!
A powerful bullish structure is forming, with PoC + Ichimoku acting as rock-solid support. The sharp bounce from the trendline signals strong buyer interest, and volume is building with momentum.
⚡️ If this pressure continues, a strong bullish rally could ignite anytime.
https://x.com/CryptoBull_360/status/2023779540385087534?s=20