# Multilingual sentence similarity

This is a Cross-Encoder model based on SentenceTransformers for calculating semantic similarity scores between sentence pairs.

This is a multilingual sentence transformer model that supports English, Russian, Ukrainian, and Polish, mapping sentences into a 768-dimensional vector space for tasks such as semantic similarity calculation.

This is a multilingual sentence transformer model supporting English, Russian, Ukrainian, and Polish, primarily used for sentence similarity computation and feature extraction tasks.

SGPT-Bloom-7b1-msmarco is a sentence transformer model based on the BLOOM architecture, primarily used for sentence similarity calculation and feature extraction tasks.

SGPT-5.8B is a sentence transformer model based on a 5.8B parameter scale, optimized through weighted mean and NLI (Natural Language Inference) fine-tuning, specifically designed for sentence similarity calculation and feature extraction tasks.

SGPT-125M is a sentence transformer model optimized with weighted mean and bitfit techniques, focusing on sentence similarity tasks.