fix prediction on run-squad.py example

examples/run_squad.py

@@ -706,7 +706,7 @@ def main():
     parser.add_argument("--num_train_epochs", default=3.0, type=float,
                         help="Total number of training epochs to perform.")
     parser.add_argument("--warmup_proportion", default=0.1, type=float,
-                        help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10%% "
+                        help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10% "
                              "of training.")
     parser.add_argument("--n_best_size", default=20, type=int,
                         help="The total number of n-best predictions to generate in the nbest_predictions.json "
@@ -922,6 +922,9 @@ def main():
         # Load a trained model that you have fine-tuned
         model_state_dict = torch.load(output_model_file)
         model = BertForQuestionAnswering.from_pretrained(args.bert_model, state_dict=model_state_dict)
+    else:
+        model = BertForQuestionAnswering.from_pretrained(args.bert_model)
+
     model.to(device)
 
     if args.do_predict and (args.local_rank == -1 or torch.distributed.get_rank() == 0):