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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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Host Testing and evaluation

@HostEvaluate · Post #852 · 01/13/2023, 08:45 PM

#MoeCloud#CA Host Provider: MoeCloud Location: Toronto, Canada Specification: 4vCore (EPYC 7413) | 30GB SSD | 20TB @ 1Gbps | ¥ 97.3 / Mo Looking glass: ca.to.global.lg.lite.moe 感谢商家提供的测试机。商家介绍这是一款主打建站的产品。电信联通回程绕美,移动有可能绕美有可能绕欧洲。流量耗尽后变为不限流量 10Mbps. 性能不错,就是没有防御。 https://paste.red/p/795686fe1d3b

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