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Source channel @githubtrending · Post #15365 · Dec 24

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#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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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #3878 · 02/13/2025, 11:23 AM

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Liquidation Map Analysis 🗺️ 1️⃣ Main Liquidation Zones: -⬆️Shorts: 98064 -⬇️Longs: Around 95474 2️⃣ Key Price Levels: - Big clusters at 95474 & 98064. - Smaller clusters scattered, creating volatility potential. 3️⃣ Imbalance: - More short liquidations concentrated ⬆️ than long liquidations ⬇️ near current price. 4️⃣ Potential Moves: - Price could be drawn ⬆️ to clear short positions at 98064. - Downside risk to 95474, where long liquidations could fuel a drop. 5️⃣ Trader Takeaways: - 🤔 Avoid stops near 95474 & 98064! Potential stop hunts! - ⚠️ Be ready for volatility if price approaches these zones. -📈 A break above 98064 could trigger a short squeeze. -📉 A drop below 95474 could trigger long liquidations cascade. #trading#crypto#liquidation

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