Rotary Transformer

Related tags

Deep Learningroformer
Overview

Rotary Transformer

Rotary Transformer，简称RoFormer，是我们自研的语言模型之一，主要是为Transformer结构设计了新的旋转式位置编码（Rotary Position Embedding，RoPE）。RoPE具有良好的理论性质，且是目前唯一一种可以应用到线性Attention的绝对位置编码，目前来看实验结果也颇为不错。

详细介绍：https://kexue.fm/archives/8265

依赖

bert4keras 0.10.4

参考配置：在24G显存的3090上，跑maxlen=1024，batch_size能跑到8以上。

下载

引用

Bibtex：

@techreport{zhuiyiroformer,
  title={RoFormer: Transformer with Rotary Position Embeddings - ZhuiyiAI},
  author={Jianlin Su},
  year={2021},
  url="https://github.com/ZhuiyiTechnology/roformer",
}

联系

邮箱：[email protected] 追一科技：https://zhuiyi.ai

Owner
Zhuiyi Technology is a leading enterprise intelligent service AI company in China. We focus on deep learning and NLP.
GitHub Repository
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