------------------------------------ SqueezeBert模型汇总 ------------------------------------ 下表汇总介绍了目前PaddleNLP支持的SqueezeBert模型对应预训练权重。 关于模型的具体细节可以参考对应链接。 +----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+ | Pretrained Weight | Language | Details of the model | +==================================================================================+==============+==================================================================================+ |``squeezebert-uncased`` | English | 12-layer, 768-hidden, | | | | 12-heads, 51M parameters. | | | | SqueezeBert Uncased model. | +----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+ |``squeezebert-mnli`` | English | 12-layer, 768-hidden, | | | | 12-heads, 51M parameters. | | | | SqueezeBert Mnli model. | +----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+ |``squeezebert-mnli-headless`` | English | 12-layer, 768-hidden, | | | | 12-heads, 51M parameters. | | | | SqueezeBert Mnli Headless model. | +----------------------------------------------------------------------------------+--------------+----------------------------------------------------------------------------------+