code: def resize_and_set_ref(model, new_nO, resizable_layer):
      resizable_layer = resize_model(resizable_layer, new_nO)
      model.set_ref("output_layer", resizable_layer.layers[0])
      model.set_dim("nO", new_nO, force=True)
      return model
  
imports: from functools import partial
  from typing import List, Optional, Tuple, cast
  from thinc.api import Dropout, Gelu, LayerNorm, Linear, Logistic, Maxout, Model, ParametricAttention, ParametricAttention_v2, Relu, Softmax, SparseLinear, SparseLinear_v2, chain, clone, concatenate, list2ragged, reduce_first, reduce_last, reduce_max, reduce_mean, reduce_sum, residual, resizable, softmax_activation, with_cpu
  from thinc.layers.chain import init
  from thinc.layers.resizable import resize_linear_weighted, resize_model
  from thinc.types import ArrayXd, Floats2d
  from ...attrs import ORTH
  from ...errors import Errors
  from ...tokens import Doc
  from ...util import registry
  from ..extract_ngrams import extract_ngrams
  from ..staticvectors import StaticVectors
  from .tok2vec import get_tok2vec_width
label_desc: Use image node_id 2 for calling a global function with example usage: resize_and_set_ref(model, new_nO, resizable_layer) and returns: model