diff --git a/segmentation_models_pytorch/decoders/mask2former/__init__.py b/segmentation_models_pytorch/decoders/mask2former/__init__.py
new file mode 100644
index 00000000..ef576370
--- /dev/null
+++ b/segmentation_models_pytorch/decoders/mask2former/__init__.py
@@ -0,0 +1,3 @@
+from .model import Mask2Former
+
+__all__ = [Mask2Former]
diff --git a/segmentation_models_pytorch/decoders/mask2former/decoder.py b/segmentation_models_pytorch/decoders/mask2former/decoder.py
new file mode 100644
index 00000000..914d4013
--- /dev/null
+++ b/segmentation_models_pytorch/decoders/mask2former/decoder.py
@@ -0,0 +1,11 @@
+import torch.nn as nn
+
+
+class Mask2FormerPixelModule(nn.Module):
+    def __init__(self):
+        super().__init__()
+
+
+class Mask2FormerTransformerModule(nn.Module):
+    def __init__(self):
+        super().__init__()
diff --git a/segmentation_models_pytorch/decoders/mask2former/model.py b/segmentation_models_pytorch/decoders/mask2former/model.py
new file mode 100644
index 00000000..895917b3
--- /dev/null
+++ b/segmentation_models_pytorch/decoders/mask2former/model.py
@@ -0,0 +1,15 @@
+from segmentation_models_pytorch.base import (
+    SegmentationModel,
+)
+
+from .decoder import Mask2FormerPixelModule, Mask2FormerTransformerModule
+
+
+class Mask2Former(SegmentationModel):
+    def __init__(self):
+        super().__init__()
+        pixel_module = Mask2FormerPixelModule()
+        transformer_module = Mask2FormerTransformerModule()
+
+    def forward(self, x):
+        return x