fix to model variable scope

modeling.py

@@ -169,7 +169,7 @@ class BertModel(object):
     if token_type_ids is None:
       token_type_ids = tf.zeros(shape=[batch_size, seq_length], dtype=tf.int32)
 
-    with tf.variable_scope("bert", scope):
+    with tf.variable_scope(scope, "bert"):
       with tf.variable_scope("embeddings"):
         # Perform embedding lookup on the word ids.
         (self.embedding_output, self.embedding_table) = embedding_lookup(