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README.md
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# Bony's Model Card
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## Model Description
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This XCiT (medium) model has been trained (from scratch) for prostate histopathology image analysis tasks, using images of size `224 × 224` pixels and 24 GPU H100. The XCiT architecture is a transformer model that uses cross-attention to process images, thereby improving performance compared to traditional CNN architectures. It was pre-trained on a large dataset using the DINO self-supervised training method.
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# Bony's Model Card
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Medium article: https://hpai-bsc.medium.com/medium-article-bony-744fa41b452d
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## Model Description
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This XCiT (medium) model has been trained (from scratch) for prostate histopathology image analysis tasks, using images of size `224 × 224` pixels and 24 GPU H100. The XCiT architecture is a transformer model that uses cross-attention to process images, thereby improving performance compared to traditional CNN architectures. It was pre-trained on a large dataset using the DINO self-supervised training method.
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