| from transformers import PretrainedConfig | |
| class PragFormerConfig(PretrainedConfig): | |
| model_type = "pragformer_private" | |
| def __init__(self, bert=None, dropout=0.2, fc1=512, fc2=2, softmax_dim=1, **kwargs): | |
| self.bert = bert | |
| self.dropout = dropout | |
| self.fc1 = fc1 | |
| self.fc2 = fc2 | |
| self.softmax_dim = softmax_dim | |
| super().__init__(**kwargs) | |