# Short Text Similarity

This is a cross-encoder model fine-tuned from BAAI/bge-reranker-base, designed for scoring text pairs, suitable for text reordering and semantic search tasks.

This is a fine-tuned sentence transformer model based on sentence-transformers/all-mpnet-base-v2, designed to map text into a 768-dimensional vector space, supporting tasks such as semantic similarity computation.

This is the ONNX ported version of sentence-transformers/all-MiniLM-L6-v2 for generating text embeddings.

This is a model based on sentence-transformers that maps sentences and paragraphs into a 64-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

A BERT-based Portuguese phrase paraphrase detection model for evaluating the paraphrase relationship between two phrases.