Update Model_Test.md (#1264)

docs/Model_Test.md

@@ -9,8 +9,8 @@ You should have:
 You can get onnx python package from [pypi](https://pypi.org/). However, if you are a onnxruntime developer, you may need to work on a cutting edge ONNX version. In this case, you need to build and install ONNX from source code.
 
 ### Install ONNX from source code
-1. (windows) set ONNX_ML=1
-   (linux) export ONNX_ML=1
+1. (windows) set ONNX_ML=1    
+   (linux) export ONNX_ML=1    
 2. Install protobuf and put protoc into your PATH environment. When you compile protobuf, it's better to only enable the static libraries. 
 3. run "python setup.py bdist_wheel" and "pip install dist/*.whl"
 
@@ -20,9 +20,9 @@ e.g.
    python3 -m onnx.backend.test.cmd_tools generate-data -o C:\testdata
 
 
-## Get the onnx model zoo models
-Download the files from: https://github.com/onnx/models. Unzip them.
-(TODO: put a full copy on Azure blob, instead of downloading these files from different sources individually)
+## Get more models
+Download https://onnxruntimetestdata.blob.core.windows.net/models/20190419.zip and unzip it.
+
 
 # Compile onnx_test_runner and run the tests
 onnx_test_runner is a C++ program. Its source code is in onnxruntime/test/onnx directory.
@@ -39,9 +39,9 @@ Options:
 	-x: Use parallel executor, default (without -x): sequential executor.    
 	-h: help    
 
-e.g.  
-//run the tests under C:\testdata dir and enable CUDA provider
+e.g.           
+//run the tests under C:\testdata dir and enable CUDA provider         
 $ onnx_test_runner -e cuda C:\testdata
 
-//run the tests sequentially. It would be easier to debug
+//run the tests sequentially. It would be easier to debug         
 $ onnx_test_runner -c 1 -j 1 C:\testdata