diff --git a/ludwig/features/image_feature.py b/ludwig/features/image_feature.py
index 96a61063f29..6d8b4a7f0d5 100644
--- a/ludwig/features/image_feature.py
+++ b/ludwig/features/image_feature.py
@@ -175,7 +175,7 @@ def _read_image_if_bytes_obj_and_resize(
         if isinstance(img_entry, bytes):
             img = read_image_from_bytes_obj(img_entry, num_channels)
         elif isinstance(img_entry, np.ndarray):
-            img = torch.from_numpy(img_entry).permute(2, 0, 1)
+            img = torch.from_numpy(np.array(img_entry, copy=True)).permute(2, 0, 1)
         else:
             img = img_entry
 
diff --git a/requirements.txt b/requirements.txt
index bda549398da..135ccdd8ffb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -10,7 +10,7 @@ torch>=1.10.0
 torchaudio
 torchtext
 torchvision>=0.10.1
-transformers>=4.10.1
+transformers>=4.10.1,<4.22
 spacy>=2.3
 PyYAML>=3.12
 absl-py
diff --git a/tests/integration_tests/test_ray.py b/tests/integration_tests/test_ray.py
index 5ca42dca93b..2fad952ac62 100644
--- a/tests/integration_tests/test_ray.py
+++ b/tests/integration_tests/test_ray.py
@@ -346,9 +346,6 @@ def test_ray_audio(tmpdir, dataset_type, ray_cluster_2cpu):
 @pytest.mark.parametrize("dataset_type", ["csv", "parquet", "pandas+numpy_images"])
 @pytest.mark.distributed
 def test_ray_image(tmpdir, dataset_type, ray_cluster_2cpu):
-    if _ray_nightly and dataset_type == "pandas+numpy_images":
-        pytest.skip("https://github.com/ludwig-ai/ludwig/issues/2452")
-
     image_dest_folder = os.path.join(tmpdir, "generated_images")
     input_features = [
         image_feature(