Error in using WEKA SVM Model in my java code (Empty SVM model after saving it in WEKA)

I have trained LIBSVM model in WEKA (3.7.3) and now want to use it in my java code. However, I'm getting an exception.

Exception:Attempt to invoke interface method 'double weka.classifiers.Classifier.classifyInstance(weka.core.Instance)' on a null object reference

All other models work fine in this java code. Moreover, the version of WEKA jar is exactly the same as I'm using for training models. I don't have any LIBSVM jar in my app because I'm using the trained model. Do I need to place LIBSVM jar in my app ?

What am I missing here ?

     inputStream = getApplicationContext().getAssets().open("svm.model");
     classifier = (Classifier) weka.core.SerializationHelper.read(inputStream);

This is the content of the model:

=== Model information ===

Filename:     svm.model
Scheme:       weka.classifiers.functions.LibSVM -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model "D:\\Program Files (x86)\\Weka-3-7" -seed 1
Relation:     Sho_gsw30SVRNULL-weka.filters.unsupervised.attribute.Remove-R5-13,18-26,31-39,44-130
Attributes:   17
              F1
              F2
              F3
              F4
              F14
              F15
              F16
              F17
              F27
              F28
              F29
              F30
              F40
              F41
              F42
              F43
              class

=== Classifier model ===

LibSVM wrapper, original code by Yasser EL-Manzalawy (= WLSVM)

Update: I tried WEKA SMO (support vector machine classifier) and it works fine in my code, but not the LIBSVM one.

Solution

Update: I tried WEKA SMO (support vector machine classifier) and it works fine in my code, but not the LIBSVM one.