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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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@V1_BLOG · Post #2363 · 02/20/2021, 04:14 PM

测速机场: ImmTelecom 测速宽带: 北方移动700M 测速时间: 2.21 官网: https://immtel.com 清晰测速图: https://t.me/V1blog_g/57111 测速By-V1测速组 #ImmTelecom 新开的机场,面板用的与佩奇同款,但线路与佩奇无关,稳定性有待观察。 有需要可自行加入 @immtelecom@immtelecom_chat 频道群组 投稿(暂不接受)

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