DeepPavlov/rubert-base-cased-sentenceai分析软件
rubert-base-cased-sentence
Sentence RuBERT (Russian百度aiapp, cased, 12-layer, 768-hidden, 12-heads, 180M parameters) is a representation‑based sentence encoder for Russian. It is initialized with RuBERT and fine‑tuned on SNLI[1] google-translated to russian and on russian part of XNLI dev set[2]. Sentence representations are mean pooled token embeddings in the same manner as in Sentence‑BERT[3].
[1]: S. R. Bowman, G. Angeli, C. Potts, and C. D. Manning. (2015) A large annotated corpus for learning natural language inference. arXiv preprint arXiv:1508.05326免费的ai工具
[2]: Williams A., Bowman S. (2018) XNLI: Evaluating Cross-lingual Sentence Representations. arXiv preprint arXiv:1809.05053下载官方即梦a1
[3]: N. Reimers, I. Gurevych (2019) Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. arXiv preprint arXiv:1908.10084ai是什么东西?
数据统计
数据评估
本站菠萝导航提供的DeepPavlov/rubert-base-cased-sentence都来源于网络，不保证外部链接的准确性和完整性，同时，对于该外部链接的指向，不由菠萝导航实际控制，在2023年5月9日 下午7:11收录时，该网页上的内容，都属于合规合法，后期网页的内容如出现违规，可以直接联系网站管理员进行删除，菠萝导航不承担任何责任。ima是什么软件
相关导航
