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@@ -61,7 +61,7 @@ The released model `aspire-contextualsentence-singlem-biomed` is compared agains
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  Besides the above models consider these alternative models also released in the Aspire paper:
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- [`aspire-contextualsentence-singlem-compsci`](https://huggingface.co/allenai/aspire-biencoder-compsci-spec): If you wanted to run on computer science papers and want to use a model trained to match a _single_ sentence between documents.
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  [`aspire-contextualsentence-multim-biomed`](https://huggingface.co/allenai/aspire-contextualsentence-multim-biomed): If you wanted to run on biomedical papers and want to use a model trained to match _multiple_ sentences between documents.
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  Besides the above models consider these alternative models also released in the Aspire paper:
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+ [`aspire-contextualsentence-singlem-compsci`](https://huggingface.co/allenai/aspire-contextualsentence-singlem-compsci): If you wanted to run on computer science papers and want to use a model trained to match a _single_ sentence between documents.
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  [`aspire-contextualsentence-multim-biomed`](https://huggingface.co/allenai/aspire-contextualsentence-multim-biomed): If you wanted to run on biomedical papers and want to use a model trained to match _multiple_ sentences between documents.
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