diff --git a/hubconf.py b/hubconf.py
new file mode 100644
index 0000000..db0591a
--- /dev/null
+++ b/hubconf.py
@@ -0,0 +1,15 @@
+import torch
+from unet import UNet as _UNet
+
+def unet_carvana(pretrained=False):
+    """
+    UNet model trained on the Carvana dataset ( https://www.kaggle.com/c/carvana-image-masking-challenge/data ).
+    Set the scale to 1 (100%) when predicting.
+    """
+    net = _UNet(n_channels=3, n_classes=1, bilinear=True)
+    if pretrained:
+        checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v1.0/unet_carvana_scale1_epoch5.pth'
+        net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True))
+
+    return net
+