feat: fixed _from_config

modeling_bert.py

@@ -335,6 +335,10 @@ class BertPreTrainedModel(nn.Module):
         logger.info(load_return)
         return model
 
+    @classmethod
+    def _from_config(cls, config, **kwargs):
+        return cls(config, **kwargs)
+
 
 class BertModel(BertPreTrainedModel):
     def __init__(self, config: JinaBertConfig, add_pooling_layer=True):
@@ -523,10 +527,6 @@ class BertForPreTraining(BertPreTrainedModel):
             seq_relationship_logits=seq_relationship_score,
         )
 
-    @classmethod
-    def _from_config(cls, config, **kwargs):
-        pass
-
 
 def remap_state_dict(state_dict, config: PretrainedConfig):
     """