class_docstr: Model allows using pre-trained models.
class_docstr_tok: ["Model","allows","using","pre-trained","models","."]
code: def load_from_manifest(manifest_url):
      try:
          manifest = load(manifest_url)
      except Exception as e:
          raise ValueError(
              "Could not find manifest.json file in dir {}. Error: {}".format(
                  manifest_url, e
              )
          )
  
      if manifest.get("type", "frozen") == "frozen":
          manifest_folder = path.dirname(manifest_url)
          return FrozenGraphModel(manifest_folder, manifest)
      else:
          raise NotImplementedError(
              "SerializedModel Manifest type '{}' has not been implemented!".format(
                  manifest.get("type")
              )
          )
  
imports: from __future__ import absolute_import, division, print_function
  from os import path
  import warnings
  import logging
  from itertools import chain
  import tensorflow
  import numpy
  from lucid.modelzoo import util
  from lucid.modelzoo.aligned_activations import get_aligned_activations
  from lucid.modelzoo.get_activations import get_activations
  from lucid.misc.io import load, save
  import lucid.misc.io.showing
label_desc: Use image node_id 23 for calling the Model obj's underlying member method code with example usage: obj.load_from_manifest(manifest_url) and returns: FrozenGraphModel