# Semantic vector generation

This is a Dutch sentence transformer model based on BERT architecture, specifically designed for sentence similarity calculation and feature extraction tasks.

Legal domain-specific Portuguese model trained on BERTimbau large version, supports semantic search and text embedding

This is a Thai sentence similarity model based on the RoBERTa architecture, capable of mapping sentences into a 768-dimensional vector space, suitable for tasks like semantic search.

This is a BERT-based Portuguese sentence transformer model specifically designed for sentence similarity calculation in the legal domain.

This is a model based on sentence-transformers that can map sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as sentence similarity calculation and semantic search.

This is a sentence transformer model based on the ALBERT-small architecture, capable of mapping sentences and paragraphs into a 768-dimensional vector space, suitable for tasks such as sentence similarity calculation and semantic search.