這是一個 sentence-transformers 模型：它將句子和段落映射到 768 維的密集向量空間，並且可以用於諸如叢集 (clustering) 或語義搜尋 (semantic search) 等任務。

Sentence-BERT：使用 Siamese BERT-Networks 的句子嵌入

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}