# Multiple negatives ranking loss

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

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