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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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@djangoproject · Post #408 · 08/10/2017, 10:42 AM
https://docs.python.org/3/library/xmlrpc.html #XML-#RPC is a #Remote_Procedure_Call method that uses XML passed via #HTTP as a transport. With it, a #client can call methods with parameters on a remote server (the #server is named by a URI) and get back structured data. #xmlrpc is a package that collects server and client modules implementing XML-RPC. The modules are: xmlrpc.client xmlrpc.server