add documentation to getting-started

Author: njzjz

doc/getting-started.md

@@ -140,7 +140,7 @@ If enbled in json/yaml input file DeePMD-kit will create log files which can be
 used to analyze training procedure with Tensorboard. For a short tutorial
 please read this [document](tensorboard.md).
 
-## Freeze a model
+##reeze a model
 
 The trained neural network is extracted from a checkpoint and dumped into a database. This process is called "freezing" a model. The idea and part of our code are from [Morgan](https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc). To freeze a model, typically one does
 ```bash
@@ -306,6 +306,8 @@ The model compression method requires that the version of DeePMD-kit used in ori
 
 ## Model inference 
 
+Note that the model for inference is required to be compatible with the DeePMD-kit package. See [Model compatibility](troubleshooting/model-compatability.md) for details. 
+
 ### Python interface
 One may use the python interface of DeePMD-kit for model inference, an example is given as follows
 ```python
@@ -360,6 +362,8 @@ and then run the program:
 
 ## Run MD
 
+Note that the model for MD simulations is required to be compatible with the DeePMD-kit package. See [Model compatibility](troubleshooting/model-compatability.md) for details. 
+
 ### Run MD with LAMMPS
 Include deepmd in the pair_style