Conversion of SVC with RBF Kernel to Tensorflow model?

Is there a way to convert support vector classifier with rbf kernel to tf model?

I am aware of converting support vector classifier with linear kernel because there exists coef_ where we can find parameters and assign to tf model. Got this idea from how to convert saved model from sklearn into tensorflow/lite.

However _coef wont be there for rbf , so i am not sure on how to convert this model to an tf model.

Any suggestions are highly helpful. Thanks

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