diff --git a/eole/bin/tools/LM_scoring.py b/eole/bin/tools/LM_scoring.py
index bd4f454d..f9b19f14 100644
--- a/eole/bin/tools/LM_scoring.py
+++ b/eole/bin/tools/LM_scoring.py
@@ -10,7 +10,6 @@
 from eole.constants import DefaultTokens, CorpusTask
 from eole.transforms import get_transforms_cls, make_transforms
 from eole.models.model import BaseModel
-from eole.decoders.ensemble import load_test_model as ensemble_load_test_model
 
 from argparse import ArgumentParser
 from eole.bin import BaseBin, register_bin
@@ -65,8 +64,7 @@ def run(cls, args):
         if len(config.gpu_ranks) > 1:
             logger.warning(f"gpu_ranks is {str(config.gpu_ranks)} but only the first one will be used.")
 
-        load_test_model = ensemble_load_test_model if len(config.model_path) > 1 else BaseModel.load_test_model
-        vocabs, model, model_opt = load_test_model(config, 0)
+        vocabs, model, model_opt = BaseModel.load_test_model(config, 0)
         pad_token = vocabs["specials"].get("pad_token", DefaultTokens.PAD)
         padding_idx = vocabs["tgt"].tokens_to_ids[pad_token]
         criterion = torch.nn.CrossEntropyLoss(ignore_index=padding_idx, reduction="none")