# Medical QA Re-ranking

The ACGE Text Embedding Model is designed for generating text embeddings and supports various natural language processing tasks.

stella-large-zh-v3-1792d is a Chinese sentence similarity calculation model based on the sentence transformer architecture, specifically designed for semantic similarity tasks involving Chinese text.

Dmeta-embedding is a model for sentence similarity calculation and feature extraction, supporting various text-related tasks.

xiaobu-embedding is a multi-task embedding model that supports various Chinese natural language processing tasks, including text similarity calculation, classification, clustering, and retrieval.

The GTE Small Chinese Model is a sentence transformer model specialized in Chinese text processing, suitable for various natural language processing tasks.

gte-base-zh is a general-purpose text embedding model optimized for Chinese, supporting various natural language processing tasks including semantic similarity calculation, text classification, information retrieval, etc.

The GTE Large Chinese Model is a multilingual text embedding model focused on semantic representation and similarity calculation for Chinese text.

tao-8k-origin is a model focused on sentence similarity calculation, supporting multiple similarity measurement methods and excelling in various Chinese evaluation datasets.

Piccolo is a Chinese base model specializing in various natural language processing tasks such as semantic text similarity (STS), classification, clustering, and retrieval.