junnyu / roformer_v2_chinese_char_large
Other483Updated May 11, 2022
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Last updated
May 11, 2022
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def forward(self, features, kwargs): x = features[:, 0, :] # take <s token (equiv. to [CLS]) x = self.dropout(x) x = self.dense(x) x = ACT2FNself.config.hiddenact # 这里是relu x = self.dropout(x) x = self.outproj(x) return x
Tasks & library
- fill mask
- transformers
Tags
- transformers
- pytorch
- roformer
- fill-mask
- roformer-v2
- tf2.0
Technical specifications
ParametersNot available
Librarytransformers
Languageszh
LicenseNot available
