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@@ -27,6 +27,7 @@ They're simple to use, fast and very accurate.
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  Like many people, I was excited about the architecture and training uplift from the ModernBERT architecture (`answerdotai/ModernBERT-base`).
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  So I've applied it to the stsb cross encoder, which is a very handy model. Additionally, I've added
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  pretraining from my much larger semi-synthetic dataset `dleemiller/wiki-sim` that targets this kind of objective.
 
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  Like many people, I was excited about the architecture and training uplift from the ModernBERT architecture (`answerdotai/ModernBERT-base`).
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  So I've applied it to the stsb cross encoder, which is a very handy model. Additionally, I've added
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  pretraining from my much larger semi-synthetic dataset `dleemiller/wiki-sim` that targets this kind of objective.
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+ The inference performance efficiency, expanded context and simplicity make this a really nice platform as an evaluator model.
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