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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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郭子健Daniel Kwok Tsz Kin

@tsingyidan · Post #1175 · 04/11/2025, 06:52 AM

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We successfully hosted the Citizenship and Settlement Seminar in Glasgow and Edinburgh this April — supporting Hongkongers on their journey to ILR and UK citizenship. This seminar was co-organised by The Hong Kong Scots CIC, Hong Kong Professionals CIC, ACRHK, and Glasgow Hong Kong Christian Church, with funding from COSLA (Convention of Scottish Local Authorities) under the BN(O) Integration Support Service. Special thanks to Henry Wong, solicitor qualified in both Hong Kong and England & Wales, for leading two in-depth legal workshops tailored for the community. We are deeply grateful to Corstorphine Community Church for their long-standing support and for kindly hosting our Edinburgh session. Full income & expenditure report (in English):https://www.patreon.com/posts/citizenship-and-126410655 #BNO#ILR#HongKongInScotland#CommunitySupport

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