Upload modeling_bert.py

modeling_bert.py

@@ -186,8 +186,7 @@ def load_tf_weights_in_bert(model, config, tf_checkpoint_path):
             array = np.transpose(array)
         try:
             if pointer.shape != array.shape:
-                raise ValueError(f"Pointer shape {pointer.shape} and array shape {
-                                 array.shape} mismatched")
+                raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
         except ValueError as e:
             e.args += (pointer.shape, array.shape)
             raise
@@ -845,8 +844,7 @@ class BertLayer(nn.Module):
         if self.is_decoder and encoder_hidden_states is not None:
             if not hasattr(self, "crossattention"):
                 raise ValueError(
-                    f"If `encoder_hidden_states` are passed, {
-                        self} has to be instantiated with cross-attention layers"
+                    f"If `encoder_hidden_states` are passed, {self} has to be instantiated with cross-attention layers"
                     " by setting `config.add_cross_attention=True`"
                 )