Fix compatibility with transformers v5

modeling_norbert.py

@@ -225,11 +225,11 @@ class NorbertPreTrainedModel(PreTrainedModel):
         std = math.sqrt(2.0 / (5.0 * self.hidden_size))
 
         if isinstance(module, nn.Linear) or isinstance(module, nn.Embedding):
-            nn.init.trunc_normal_(module.weight.data, mean=0.0, std=std, a=-2*std, b=2*std)
+            nn.init.trunc_normal_(module.weight, mean=0.0, std=std, a=-2*std, b=2*std)
         elif isinstance(module, nn.LayerNorm) and module.weight is not None:
-            module.weight.data.fill_(1.0)
+            module.weight.fill_(1.0)
         if hasattr(module, "bias") and module.bias is not None:
-            module.bias.data.zero_()
+            module.bias.zero_()
 
 
 class NorbertModel(NorbertPreTrainedModel):