#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
Crypto News Aggregator by EXCAVO | ꘜ
🕵️♂️#TST creator wallet sold >$30,400 worth of TST in 4 transactions 12 hours ago, completely exiting the position.
Notably, CZ reported in February that the BNB Chain team launched TST as part of a step-by-step memecoin launch video training.
Previously: TST dropped -67% in just 2 minutes.