Use torch save.

app.py

@@ -108,8 +108,9 @@ class Model(nn.Module):
 m = Model()
 m.to(device)
 
-with open("model_v4.pkl","rb") as f:
-    m=pickle.load(f)
+#with open("model_v4.pkl","rb") as f:
+    #m=pickle.load(f)
+m=torch.load("model_v4t.pkl",map_location=torch.device('cpu'))
 
 top_k = 20
 def generate(s, num = 60):

model_v4t.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e56c8c0d3d1fb4c25547214ed8a32f2e22fb71a1273cbd6fba4ab2661e2a319
+size 4132106