ROUTing transformer

Routing Transformer是一种Transformer的变体。它是基于传统的Transformer模型进行改进和优化的。Routing Transformer通过引入路由机制来改变注意力计算的方式，以提升模型的效率和速度。

在使用Routing Transformer时，你可以使用Python的pip工具进行安装。使用命令`$ pip install routing_transformer`来安装所需的库。然后，你可以简单地导入库并创建Routing Transformer的语言模型。以下是一个简单的例子:

import torch
from routing_transformer import RoutingTransformerLM

model = RoutingTransformerLM(num_tokens=20000, dim=512, heads=8, ...)

你可以根据需要设置不同的参数，如`num_tokens`、`dim`和`heads`等等。这样你就可以使用Routing Transformer模型进行语言建模等任务了。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [Transformer变体（Routing Transformer，Linformer，Big Bird）](https://blog.csdn.net/qq_39388410/article/details/113528697)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [Transformer的变体](https://blog.csdn.net/weixin_42001089/article/details/114452385)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [routing-transformer:路由变压器的全功能实现](https://download.csdn.net/download/weixin_42109639/16016872)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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