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@@ -13,8 +13,6 @@ This is a truncated version of [jeffwan/mmarco-mMiniLMv2-L12-H384-v1](https://hu
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  This model has only English and Russian tokens left in the vocabulary. Thus making it twice as small as the original model while producing the same embeddings.
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- Model maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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  # Cross-Encoder for multilingual MS Marco
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  This model has only English and Russian tokens left in the vocabulary. Thus making it twice as small as the original model while producing the same embeddings.
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  # Cross-Encoder for multilingual MS Marco
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