# Long Text Encoding

This is a fine-tuned SentenceTransformer model based on BookingCare/gte-multilingual-base-v2.1, designed for calculating sentence similarity and semantic search tasks.

This is a fine-tuned sentence transformer model derived from Alibaba-NLP/gte-multilingual-base, specifically optimized for semantic similarity tasks in legal and administrative texts, with support for multilingual processing.

This is a fine-tuned sentence transformer model based on Alibaba-NLP/gte-multilingual-base, designed for tasks like semantic textual similarity.

An English text encoder from the GTE-v1.5 series, improved based on the BERT architecture, supporting context lengths up to 8192, suitable for English text representation tasks.

A financial domain sentence embedding model fine-tuned based on BAAI/bge-m3, supporting 1024-dimensional vector representation, suitable for semantic similarity and information retrieval tasks