# CoSENT optimization

This is a fine-tuned sentence transformer model on measurement domain datasets, used for generating semantic embedding vectors, supporting tasks like semantic text similarity and semantic search.

A Chinese text embedding model based on the CoSENT (Cosine Sentence) model, which can map sentences to a 768-dimensional dense vector space and is suitable for tasks such as sentence embedding, text matching, or semantic search.