Sentence-transformers 模型,可用于聚类或语义搜索等任务。
embedding 278m
1.72万 Pulls 更新于 6 个月前
更新于 6 个月前
6 个月前
ba13c2e06707 · 563MB
模型
archbert
·
parameters277M
·
quantizationF16
563MB
参数
{ "num_ctx": 128 }
16B
许可证
Apache License Version 2.0, January 2004
11kB
Readme
这是一个 sentence-transformers 模型:它将句子和段落映射到 768 维稠密向量空间,可用于聚类或语义搜索等任务。
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",
}