# Long Text Semantic Matching

This is a sentence transformer model fine-tuned from Alibaba NLP/gte-base-en-v1.5, designed to map text into a 768-dimensional vector space, supporting tasks such as semantic similarity calculation.

This is a sentence-transformers model fine-tuned from BAAI/bge-m3, designed to map sentences and paragraphs into a 1024-dimensional dense vector space, supporting tasks such as semantic text similarity and semantic search.

This is a sentence-transformers model fine-tuned from ModernBERT-large, designed to map sentences and paragraphs into a 1024-dimensional dense vector space, supporting tasks such as semantic textual similarity and semantic search.

High-performance semantic similarity evaluation model optimized for text comparison tasks