diff --git a/utils/model_io.py b/utils/model_io.py
index 936f07e..fc82c4a 100644
--- a/utils/model_io.py
+++ b/utils/model_io.py
@@ -1,5 +1,7 @@
 from argparse import Namespace
 from collections import Mapping
+from typing import Union
+
 from copy import deepcopy
 from pathlib import Path
 
@@ -66,16 +68,19 @@ class ModelParameters(Namespace, Mapping):
 class SavedLightningModels(object):
 
     @classmethod
-    def load_checkpoint(cls, models_root_path, model=None, n=-1, tags_file_path=''):
+    def load_checkpoint(cls, models_root_path, model=None, n=-1, checkpoint: Union[None, str] = None):
         assert models_root_path.exists(), f'The path {models_root_path.absolute()} does not exist!'
-        found_checkpoints = list(Path(models_root_path).rglob('*.ckpt'))
-
-        found_checkpoints = natsorted(found_checkpoints, key=lambda y: y.name)
+        if checkpoint is not None:
+            checkpoint_path = Path(checkpoint)
+            assert checkpoint_path.exists(), f'The path ({checkpoint_path} does not exist).'
+        else:
+            found_checkpoints = list(Path(models_root_path).rglob('*.ckpt'))
+            checkpoint_path = natsorted(found_checkpoints, key=lambda y: y.name)[n]
         if model is None:
             model = torch.load(models_root_path / 'model_class.obj')
         assert model is not None
 
-        return cls(weights=found_checkpoints[n], model=model)
+        return cls(weights=checkpoint_path, model=model)
 
     def __init__(self, **kwargs):
         self.weights: str = kwargs.get('weights', '')