# 768-dimensional Dense Vectors

This is an Arabic sentence transformer model fine-tuned based on AraModernBert-Base-V1.0, excelling in semantic similarity computation and text embedding generation.

A sentence embedding model fine-tuned for Romanian based on the stsb-xlm-r-multilingual model, capable of mapping text to a 768-dimensional vector space

A sentence embedding model based on Turkish BERT, optimized for semantic similarity tasks

This is a sentence transformer model based on DistilBERT, which maps text to a 768-dimensional vector space, suitable for semantic search and clustering tasks.