code: def create_embed_relu_relu_softmax(depth, width, vector_length):
      with Model.define_operators({">>": chain}):
          model = strings2arrays() >> with_array(
              HashEmbed(width, vector_length, column=0)
              >> expand_window(window_size=1)
              >> Relu(width, width * 3)
              >> Relu(width, width)
              >> Softmax(17, width)
          )
      return model
  
file_path: thinc/thinc/tests/layers/test_basic_tagger.py
imports: import random
  import pytest
  from thinc.api import Adam, HashEmbed, Model, Relu, Softmax, chain, expand_window, strings2arrays, with_array
label_desc: Use image node_id 2 for calling a global function with example usage: create_embed_relu_relu_softmax(depth, width, vector_length) and returns: model