import tensorflow as tf
import numpy as  np

saver = tf.train.Saver()

with tf.Session() as sess:
    ckpt = tf.train.get_checkpoint_state('myModelC')
    if ckpt and ckpt.model_checkpoint_path:
        saver.restore(sess, ckpt.model_checkpoint_path)

