Text Analytics Toolbox Model for all-MiniLM-L6-v2 Network
Pretrained all-MiniLM-L6-v2 Network for MATLAB
17 descargas
Actualizado
19 jun 2024
The all-MiniLM-L6-v2 is a sentence embedding model that can be used to convert sentences into a fixed-length numeric representation. Sentence embedding models are used in tools for similarity detection, information retrieval, or, with Large Language Models, such as in retrieval augmentation generation and semantic search workflows.
You can use this model with the documentEmbedding feature:
mdl = documentEmbedding(Model="all-MiniLM-L6-v2");
embed(mdl, "Accelerating the pace of engineering and science.");
Compatibilidad con la versión de MATLAB
Se creó con
R2024a
Compatible con cualquier versión desde R2024a hasta R2024b
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) LinuxEtiquetas
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