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  This model is a full precision version of the original [universal-sentence-encoder](https://tfhub.dev/google/universal-sentence-encoder/4),
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  wrapped by input and output reshaping layers.
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- These wrapping processing layers change the input and output signature from Rank-1 (Lists) to Rank-2 (Matrices),
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- making the model compatible with the serving environments of the Actian Analytics Engine that requires a feature dimension of Rank-2 or higher.
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  ## Description adapted from [TFHub](https://tfhub.dev/google/universal-sentence-encoder/4)
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  This model is a full precision version of the original [universal-sentence-encoder](https://tfhub.dev/google/universal-sentence-encoder/4),
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  wrapped by input and output reshaping layers.
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+ These wrapping processing layers change the input signature from Rank-1 (Lists) to Rank-2 (Matrices),
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+ making the model compatible with the serving environments of the Actian Analytics Engine that requires an input dimension of Rank-2 or higher.
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  ## Description adapted from [TFHub](https://tfhub.dev/google/universal-sentence-encoder/4)
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