diff --git a/tests/test_api.py b/tests/test_api.py
index d28c733..e828c9e 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -1,14 +1,13 @@
 """Test bat detect module API."""
 
-from pathlib import Path
-
 import os
 from glob import glob
+from pathlib import Path
 
 import numpy as np
+import soundfile as sf
 import torch
 from torch import nn
-import soundfile as sf
 
 from batdetect2 import api
 
@@ -267,7 +266,6 @@ def test_process_file_with_spec_slices():
     assert len(results["spec_slices"]) == len(detections)
 
 
-
 def test_process_file_with_empty_predictions_does_not_fail(
     tmp_path: Path,
 ):
diff --git a/tests/test_model.py b/tests/test_model.py
new file mode 100644
index 0000000..7e5d997
--- /dev/null
+++ b/tests/test_model.py
@@ -0,0 +1,47 @@
+"""Test suite for model functions."""
+
+import warnings
+
+import numpy as np
+from hypothesis import given, settings
+from hypothesis import strategies as st
+
+from batdetect2 import api
+from batdetect2.detector import parameters
+
+
+def test_can_import_model_without_warnings():
+    with warnings.catch_warnings():
+        warnings.simplefilter("error")
+        api.load_model()
+
+
+@settings(deadline=None, max_examples=5)
+@given(duration=st.floats(min_value=0.1, max_value=2))
+def test_can_import_model_without_pickle(duration: float):
+    # NOTE: remove this test once no other issues are found This is a temporary
+    # test to check that change in model loading did not impact model behaviour
+    # in any way.
+
+    samplerate = parameters.TARGET_SAMPLERATE_HZ
+    audio = np.random.rand(int(duration * samplerate))
+
+    model_without_pickle, model_params_without_pickle = api.load_model(
+        weights_only=True
+    )
+    model_with_pickle, model_params_with_pickle = api.load_model(
+        weights_only=False
+    )
+
+    assert model_params_without_pickle == model_params_with_pickle
+
+    predictions_without_pickle, _, _ = api.process_audio(
+        audio,
+        model=model_without_pickle,
+    )
+    predictions_with_pickle, _, _ = api.process_audio(
+        audio,
+        model=model_with_pickle,
+    )
+
+    assert predictions_without_pickle == predictions_with_pickle