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Average Model Cost: $0.0000

Number of Runs: 146,513

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LaBSE, or the Language-agnostic BERT sentence encoder, is a transformer-based model that is trained on a large amount of multilingual text. It is designed to embed sentences into fixed-length vectors, allowing for various natural language processing tasks such as sentence similarity, document classification, and text clustering. LaBSE is language-agnostic, meaning it is capable of understanding and encoding text in multiple languages, making it a versatile tool for cross-lingual applications.

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