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LEALLA Small

Developed by setu4993
LEALLA-small is a lightweight, language-agnostic sentence embedding model that supports 109 languages, suitable for multilingual sentence embedding and bilingual text retrieval tasks.
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Release Time : 5/21/2023

Model Overview

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

Model Features

Multilingual support
Supports 109 languages, suitable for multilingual sentence embedding tasks.
Lightweight design
Obtained through knowledge distillation from the LaBSE model, featuring smaller model size and faster inference speed.
Sentence similarity calculation
Efficiently calculates similarity between sentences in different languages.

Model Capabilities

Multilingual sentence embedding
Bilingual text retrieval
Sentence similarity calculation

Use Cases

Text retrieval
Cross-language document retrieval
Use the model to embed documents in different languages to achieve cross-language similar document retrieval.
Machine translation
Translation quality assessment
Evaluate translation quality by comparing the embedding similarity of source and target language sentences.
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