funasr/train_utils/load_pretrained_model.py
@@ -52,6 +52,8 @@ if excludes is not None: if isinstance(excludes, str): excludes = excludes.split(",") if not isinstance(excludes, (tuple, list)): excludes = [excludes] logging.info(f"excludes: {excludes}") for k in dst_state.keys():
