code: def nlp():
      model = "en_core_web_md"
      spacy_model(model=model)
      nlp = spacy.load(model)
      return nlp
  
imports: import pytest
  import logging
  import shap
  import spacy
  import numpy
  from sklearn.linear_model import LogisticRegression, LinearRegression
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  from alibi.explainers import ALE
  from alibi.explainers import AnchorTabular
  from alibi.explainers import KernelShap, TreeShap
  from alibi.explainers.tests.utils import predict_fcn, MockTreeExplainer
  from alibi.tests.utils import MockPredictor
  from alibi.utils.lang_model import BertBaseUncased, DistilbertBaseUncased, RobertaBase
  from alibi.utils.download import spacy_model
  import tensorflow
  import alibi_testing
  from alibi_testing.data import get_adult_data, get_iris_data, get_diabetes_data, get_mnist_data, get_movie_sentiment_data
label_desc: Use image node_id 23 for calling a global function with example usage: nlp() and returns: nlp