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Source channel @githubtrending · Post #14627 · Apr 24

#jupyter_notebook DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch. https://github.com/facebookresearch/dinov2

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Dr Sherri Tenpenny

@SherriTenpenny · Post #23951 · 01/14/2026, 05:08 AM

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In the past, #Rennet was historically extracted from the fourth stomach of young calves; however, there are now different techniques of production by genetically modified organisms (recombinant chymosin) and the use of other enzymes that have a proteolytic profile with good activity at pH and temperature for cheese making. DYK - Over 90% of the cheese made in the US is made by using a GMO rennet created by Pfizer. https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/rennet Sources of non GMO cheese:🧀👇 https://www.saputocheeseusa.com/en/ingredients/our-products/organic-nongmo-cheese #cheese#GMOs#Chymosin#organiccheese#NONGMOcheese#PfizerCheese#PfizerPoison 🔹👉🏻@SherriTenpenny

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