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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 #287 · 04/04/2017, 09:04 PM
http://stackoverflow.com/questions/32054066/python-how-to-run-multiple-coroutines-concurrently-using-asyncio how to run multiple #coroutines#concurrently using #asyncio? You can use #asyncio.async() to run as many #coroutines as you want, before executing blocking call for starting event loop.
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