README: add paper link (huggingface.co/papers/2605.07075) + collection link
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README.md
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# ModelLens — Finding the Best Model for Your Task from Myriads of Models
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Describe your dataset → pick a task and metric → get a ranked list of HuggingFace
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models likely to perform well on it. Backed by the
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trained on the cleaned + expanded `unified_augmented_v2` corpus, with a candidate
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pool of ~47k HuggingFace models. The full model uses learned model-id /
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model-description / dataset-id embeddings on top of the dataset-description and
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# ModelLens — Finding the Best Model for Your Task from Myriads of Models
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📄 **Paper**: [ModelLens: Finding the Best Model for Your Task from Myriads of Models](https://huggingface.co/papers/2605.07075)
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· 🤗 **Collection**: [luisrui/modellens](https://huggingface.co/collections/luisrui/modellens)
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· 💻 **Code**: [github.com/luisrui/ModelLens](https://github.com/luisrui/ModelLens)
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Describe your dataset → pick a task and metric → get a ranked list of HuggingFace
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models likely to perform well on it. Backed by the ModelLens checkpoint
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trained on the cleaned + expanded `unified_augmented_v2` corpus, with a candidate
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pool of ~47k HuggingFace models. The full model uses learned model-id /
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model-description / dataset-id embeddings on top of the dataset-description and
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