# Contrastive Learning Training

SciRus-tiny is a compact model for obtaining Russian and English scientific text embeddings, trained on eLibrary data using contrastive learning techniques.

A sentence transformer model trained on 480,000 English lyrics for generating 300-dimensional sentence embeddings

Sentence embedding model based on MPNet architecture, mapping text to a 768-dimensional vector space, suitable for semantic search and sentence similarity calculation