How can I use model generated from training new sequences and existing pre-trained model to predict data iteratively. Since both have different number of classes

Suppose, pretrained existing model is Model A with size 100 and New model developed from training new false positives, is Model B with size 105. I am not able to combine/update/append model B with model A, to be fed for further prediction.