class_docstr: Model structure and forwarding of FastText 
code: def __init__(
      self, vocab_size, embedding_size, n_labels, name="fasttext"
  ):
      super(FastTextModel, self).__init__(name=name)
  
      self.avg_embed = AverageEmbedding(vocab_size, embedding_size)
      self.dense1 = Dense(n_units=10, in_channels=embedding_size)
      self.dense2 = Dense(n_units=n_labels, in_channels=10)
  
file_path: TensorLayer/examples/text_classification/tutorial_imdb_fasttext.py
imports: import array
  import hashlib
  import os
  import time
  import numpy
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import *
  from tensorlayer.models import *
label_desc: Use image node_id 1 to create a new FastTextModel object from inherited base classes: Model with example: obj = FastTextModel(vocab_size, embedding_size, n_labels, name)