# Support for 109 languages

LaBSE is a multilingual sentence embedding model that maps sentences from 109 languages into a shared vector space.

LEALLA is a collection of lightweight language-agnostic sentence embedding models supporting 109 languages, distilled from LaBSE. Suitable for obtaining multilingual sentence embeddings and bilingual text retrieval.

LEALLA-small is a lightweight, language-agnostic sentence embedding model that supports 109 languages, suitable for multilingual sentence embedding and bilingual text retrieval tasks.

LaBSE is a multilingual sentence embedding model based on BERT, supporting 109 languages, suitable for sentence similarity calculation and bilingual text retrieval.

LaBSE is a BERT-based multilingual sentence embedding model that supports 109 languages, suitable for sentence similarity calculation and bilingual text retrieval.