# Polish sentence embeddings

This is a Polish-language sentence embedding model capable of mapping sentences and paragraphs into a 1024-dimensional vector space, suitable for semantic search and clustering tasks.

This is a Polish sentence embedding model based on sentence-transformers, capable of mapping text to a 768-dimensional vector space, suitable for tasks such as semantic similarity calculation.

SHerbert large is an improved SentenceBERT model based on the Polish HerBERT, designed to generate semantically meaningful sentence embeddings and compare them using cosine similarity.