Zero'ing params docs

save_model.py

@@ -2,14 +2,15 @@
 #!/usr/bin/env python
 """Saves the model as a TorchScript.
 
-The resulting file can be loaded in C++ code and then used for training or inference with:
+The resulting file can be loaded in C++ code and then used for training or
+inference with:
     #include <torch/script.h>
     torch::jit::Module module = torch::jit::load("model.pt")
 
-Note that the model includes the initial parameters and with default ModelArgs the serialized model
-is 59M and gzips down to 55M. If you want to serialize/distribute the model parameters separately
-and the size of the model file you can zero out the parameters before saving it and it will gzip
-down to 780K:
+Note that the model includes the initial parameters and with default ModelArgs the
+serialized model is 59M and gzips down to 55M. If you want to serialize/distribute the
+model parameters separately and the size of the model file you can zero out the
+parameters before saving it and it will gzip down to 780K:
     for p in model.parameters():
         p.detach().zero_()
 """