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keras try save and load model error

i am trying to fine tuning and save model in Keras and load model but error
Value Error: You are trying to load a weight file containing 16 layers into a model with 0 layers.
i tried another model for number i made it save and load mode work without error
when i try adopt vgg16 and used it give that error
i want load model but cant load because this error any help ?

Value Error: You are trying to load a weight file containing 16 layers into a model with 0 layers.

import keras
from keras.models import Sequential,load_model,model_from_json

from keras import backend as K
from keras.layers import Activation,Conv2D,MaxPooling2D,Dropout
from keras.layers.core import Dense,Flatten
from keras.optimizers import Adam
from keras.metrics import categorical_crossentropy
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import *
from keras.preprocessing.image import ImageDataGenerator
import matplotlib.pyplot as plt
import itertools
from sklearn.metrics import confusion_matrix

import numpy as np
train_path='dataset/train'
test_path='dataset/test'
valid_path='dataset/valid'
train_batches=ImageDataGenerator()
.flow_from_directory(train_path,batch_size=1,target_size=(224,224),classes=
['dog','cat'])
valid_batches=ImageDataGenerator()
.flow_from_directory(valid_path,batch_size=4,target_size=(224,224),classes=
['dog','cat'])
test_batches=ImageDataGenerator()
.flow_from_directory(test_path,target_size=(224,224),classes=['dog','cat'])

vgg16_model=keras.applications.vgg16.VGG16();

vgg16_model.summary()

type(vgg16_model)

model=Sequential()
for layer in vgg16_model.layers[:-1]:
model.add(layer)




for layer in model.layers:
layer.trainable=False

model.add(Dense(2,activation='softmax'))


model.compile(Adam(lr=.0001),loss='categorical_crossentropy',metrics=
['accuracy'])
model.fit_generator(train_batches,validation_data=valid_batches,epochs=1)


model.save('test.h5')
model.summary()
xx=load_model('test.h5')


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