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------------------------------------
CTRL模型汇总
------------------------------------



下表汇总介绍了目前PaddleNLP支持的CTRL模型对应预训练权重。

+----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+
| Pretrained Weight                                                                | Language     | Details of the model                                                             |
+==================================================================================+==============+==================================================================================+
|``ctrl``                                                                          | English      | 48-layer, 1280-hidden,                                                           |
|                                                                                  |              | 16-heads, 1701M parameters.                                                      |
|                                                                                  |              | The CTRL base model.                                                             |
+----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+
|``sshleifer-tiny-ctrl``                                                           | English      | 2-layer, 16-hidden,                                                              |
|                                                                                  |              | 2-heads, 5M parameters.                                                          |
|                                                                                  |              | The Tiny CTRL model.                                                             |
+----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+