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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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English Speakers

@English_Speakers · Post #5139 · 12/23/2022, 04:46 PM

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#converisation #Beginner #Daily_life @English_speakers ⚜➖⚜➖⚜➖⚜➖⚜➖ A: I’m going to take a nap. B: You should unplug the phone. A: That’s a good idea. B: Do you want me to wake you in an hour? A: No, thanks. Just let me sleep until I wake up. B: I’ll start dinner at 6:00. A: Okay. I think I’ll be awake by then. B: If not, your nose will wake you up. A: You mean I will smell the food cooking? B: You might even dream about dinner A: I don’t think I’m going to dream about anything. I’m really tired. B: Have a nice nap. Listen and practice 👇

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