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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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🌷Haditas Estudiosas📋

@apuntes_digitales · Post #3939 · 11/16/2022, 12:06 AM

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░⃟────────────────────░⃟ - webs para encontrar íconos!! Estás cansado de qué tus presentaciones de powerpoint se vean aburridas ? Pues aquí te dejo 4 webs gratuitas que te permiten descargar materiales para decorar tus presentaciones de manera profesional. Tienen desde imágenes en HD , íconos e imágenes vectoriales . Espero que te sean útiles y si gustas siempre puedes compartir tu trabajo en nuestro grupo de chat ! atte. Pecas05 🌱 👩‍💻: @Apuntes_Digitales╏#websites ; #recursos ░⃟────────────────────░⃟

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djangoproject

@djangoproject · Post #217 · 01/04/2017, 10:34 PM

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http://stackoverflow.com/questions/37642452/using-python-to-fill-in-text-boxes-on-websites-and-clicking-button-to-download Using python to fill in #text_boxes on #websites, and clicking #button to download

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