# Unsupervised sentence embedding

A sentence transformer model based on m-Distil-BERT, trained using the SimCSE method, capable of mapping text to 768-dimensional vectors, suitable for semantic search and clustering tasks

DeCLUTR-base is a universal sentence encoder model trained through deep contrastive learning for generating high-quality text representations.