diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c26b9621..3987f0dc 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -8,6 +8,7 @@ repos:
     hooks:
       - id: black
         exclude: imports
+        additional_dependencies: ["platformdirs"]
   - repo: https://github.com/PyCQA/isort
     rev: 5.11.5
     hooks:
diff --git a/caikit_nlp/resources/pretrained_model/base.py b/caikit_nlp/resources/pretrained_model/base.py
index eba74744..b68c8d67 100644
--- a/caikit_nlp/resources/pretrained_model/base.py
+++ b/caikit_nlp/resources/pretrained_model/base.py
@@ -201,25 +201,27 @@ def bootstrap(
                     else "right"
                 )
 
-            # Load the tokenizer and set up the pad token if needed
-            tokenizer = AutoTokenizer.from_pretrained(
-                tokenizer_name,
-                local_files_only=not get_config().allow_downloads,
-                padding_side=padding_side,
-                # We can't disable use_fast otherwise unit test fails
-                # use_fast=False,
-            )
+            with alog.ContextTimer(log.info, "Tokenizer loaded in "):
+                # Load the tokenizer and set up the pad token if needed
+                tokenizer = AutoTokenizer.from_pretrained(
+                    tokenizer_name,
+                    local_files_only=not get_config().allow_downloads,
+                    padding_side=padding_side,
+                    # We can't disable use_fast otherwise unit test fails
+                    # use_fast=False,
+                )
 
         if tokenizer.pad_token_id is None:
             tokenizer.pad_token_id = tokenizer.eos_token_id
 
-        # Load the model
-        model = cls.MODEL_TYPE.from_pretrained(
-            model_name,
-            local_files_only=not get_config().allow_downloads,
-            torch_dtype=torch_dtype,
-            **kwargs,
-        )
+        with alog.ContextTimer(log.info, f"Model {model_name} loaded in "):
+            # Load the model
+            model = cls.MODEL_TYPE.from_pretrained(
+                model_name,
+                local_files_only=not get_config().allow_downloads,
+                torch_dtype=torch_dtype,
+                **kwargs,
+            )
         log.debug4("Model Details: %s", model)
 
         # Create the class instance