#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
#COMP/USDT analysis :
#COMP is currently retracing towards the 200 EMA, creating a long trade opportunity. The price has swept the swing low stop losses and is now expected to resume bullish momentum, targeting higher levels.
TF : 4H
Entry : $56.50
Target : $61.52
SL : $53.93