diff --git a/test/Project.toml b/test/Project.toml
index 2a93eb04..f5c9dbb3 100644
--- a/test/Project.toml
+++ b/test/Project.toml
@@ -7,6 +7,7 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 TestImages = "5e47fb64-e119-507b-a336-dd2b206d9990"
 TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
 cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
+Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 
 [compat]
 CUDA = "4, 5"
diff --git a/test/model_tests.jl b/test/model_tests.jl
index 729701bc..7df7a7a4 100644
--- a/test/model_tests.jl
+++ b/test/model_tests.jl
@@ -2,6 +2,7 @@
 using Metalhead, Images, TestImages
 using Flux: gradient, gpu
 using CUDA: CUDA, has_cuda
+using Downloads
 
 export PRETRAINED_MODELS,
     TEST_FAST,
@@ -72,7 +73,9 @@ const TEST_X = let img_array = convert(Array{Float32}, channelview(TEST_IMG))
 end
 
 # ImageNet labels
-const TEST_LBLS = readlines(download("https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt"))
+const TEST_LBLS = readlines(Downloads.download(
+    "https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt"
+))
 
 function acctest(model)
     ypred = gpu(model)(TEST_X) |> collect |> vec