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# InRanker-
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InRanker is a version of monoT5 self-distilled from [monoT5-3B](https://huggingface.co/castorini/monot5-3b-msmarco-10k) with increased effectiveness on out-of-domain scenarios.
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Our key insight were to use language models and rerankers to generate as much as possible
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language:
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# InRanker-3B (3B parameters)
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InRanker is a version of monoT5 self-distilled from [monoT5-3B](https://huggingface.co/castorini/monot5-3b-msmarco-10k) with increased effectiveness on out-of-domain scenarios.
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Our key insight were to use language models and rerankers to generate as much as possible
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