class_docstr: VAE for MNIST or CelebA dataset.
class_docstr_tok: ["VAE","for","MNIST","or","CelebA","dataset","."]
code: def __init__(self, config, name=""):
      super(Model, self).__init__(name=name)
      self.config = config
  
file_path: magenta/magenta/models/latent_transfer/model_dataspace.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from magenta.models.latent_transfer.common import dataset_is_mnist_family
  import numpy
  from six import iteritems
  import sonnet
  import tensorflow.compat.v1
  import tensorflow_probability
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: snt with example: obj = Model(config, name)