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README.md
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library_name: transformers
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pipeline_tag: zero-shot-image-classification
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datasets:
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base_model:
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- google/siglip2-base-patch16-256
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<a href="https://huggingface.co/collections/
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<a href="https://arxiv.org/abs/2510.22276" target="_blank">📄 Paper</a>
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</div>
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We fine-tuned the [google/siglip2-base-patch16-256](https://huggingface.co/google/siglip2-base-patch16-256) on [WAON](https://huggingface.co/datasets/
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Our model achieves state-of-the-art performance on [WAON-Bench](https://huggingface.co/datasets/
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library_name: transformers
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pipeline_tag: zero-shot-image-classification
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datasets:
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- llm-jp/WAON
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base_model:
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- google/siglip2-base-patch16-256
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<a href="https://huggingface.co/collections/llm-jp/waon" target="_blank">🤗 HuggingFace</a>
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<a href="https://arxiv.org/abs/2510.22276" target="_blank">📄 Paper</a>
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</div>
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We fine-tuned the [google/siglip2-base-patch16-256](https://huggingface.co/google/siglip2-base-patch16-256) on [WAON](https://huggingface.co/datasets/llm-jp/WAON), a large-scale Japanese image-text pair dataset.
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Our model achieves state-of-the-art performance on [WAON-Bench](https://huggingface.co/datasets/llm-jp/WAON-Bench), a Japanese cultural image classification benchmark.
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