# Contrastive loss optimization

This is a sentence transformer model fine-tuned from sentence-transformers/all-MiniLM-L6-v2, which maps text to a 384-dimensional vector space for tasks such as semantic similarity calculation.

A Russian miniature language model based on BERT architecture, suitable for sentence similarity calculation and feature extraction tasks

Russian RoPE embedding model based on BERT architecture, optimized for sentence similarity and feature extraction tasks