# Multilingual semantic search

This is a sentence-transformers model fine-tuned from microsoft/mpnet-base, designed for vector representations of sentences and paragraphs, supporting tasks like semantic textual similarity.

This is a sentence transformer model based on the LaBSE architecture, specifically fine-tuned for Russian-Mari language pairs, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.

A sentence transformer trained on the BLOOM-1.7B model, specializing in sentence similarity and natural language inference tasks