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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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@kyveannouncements · Post #322 · 06/20/2023, 04:04 PM
💫 With our first mainnet data pool now live, making CosmosHub chain data trustless for the #interchain ecosystem, what blockchain should we start archiving & validating next? 🤔 Tag them in the comments below! 💬👇 https://twitter.com/KYVENetwork/status/1671187001075277825
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@kyveannouncements · Post #356 · 12/18/2023, 04:02 PM
KYVE is partnering with Syntropynet! Taking #interchain data to new bounds 💫 🤝 In the spirit of the #modular era, Syntropy & KYVE are each bringing forward their specialized data solutions to ensure a reliable, full-scope data experience from start to finish for both historical & real-time data streams. Learn more about this exciting partnership ⤵️ https://x.com/KYVENetwork/status/1736776359043539058?s=20
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