# Italian sentence embeddings

This is a sentence transformer model based on BERTino, capable of mapping Italian sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

This is a case-insensitive Italian BERT model based on sentence-transformers, designed to generate 768-dimensional dense vector representations for sentences and paragraphs.

This is an Italian-based sentence transformer model capable of mapping sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

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

Italian sentence embedding model based on sentence-transformers, mapping text to a 768-dimensional vector space, suitable for semantic search and clustering tasks

Italian sentence embedding model based on sentence-transformers, mapping text to a 768-dimensional vector space

Italian sentence embedding model based on sentence-transformers, mapping text to a 768-dimensional vector space