text: import tensorflow as tf
  import tensorflow_hub as hub
  
  embed = hub.KerasLayer(
      "https://tfhub.dev/google/elmo/3",
      input_shape=[],     # Expects a tensor of shape [batch_size] as input.
      dtype=tf.string)    # Expects a tf.string input tensor.
  model = tf.keras.Sequential([embed])
  model.summary()
  
  embeddings = model.predict([
     "i i like green eggs and ham",
     "would you eat them in a box"
  ])
  print(embeddings.shape)
  