code: def emformer_rnnt():
      return emformer_rnnt_model(
          input_dim=512,
          encoding_dim=1024,
          num_symbols=1024,
          segment_length=64,
          right_context_length=0,
          time_reduction_input_dim=128,
          time_reduction_stride=1,
          transformer_num_heads=4,
          transformer_ffn_dim=2048,
          transformer_num_layers=20,
          transformer_dropout=0.1,
          transformer_activation="gelu",
          transformer_left_context_length=30,
          transformer_max_memory_size=0,
          transformer_weight_init_scale_strategy="depthwise",
          transformer_tanh_on_mem=True,
          symbol_embedding_dim=512,
          num_lstm_layers=3,
          lstm_layer_norm=True,
          lstm_layer_norm_epsilon=1e-3,
          lstm_dropout=0.3,
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: emformer_rnnt() and returns: emformer_rnnt_model