# Cross-sentence semantic matching

This is a Spanish BERT model based on sentence-transformers, capable of mapping sentences and paragraphs into a 768-dimensional vector space, suitable for semantic search and clustering tasks.

This is an unsupervised learning-based Japanese sentence embedding model, specifically designed to generate high-quality Japanese sentence embeddings.

This is a sentence transformer model based on SlovakBERT, specifically designed for sentence similarity computation and feature extraction tasks.

A semantic transformation model for calculating sentence similarity in German, developed based on the Sentence-Transformers framework.