code: def mention_detection_debug(sentence):
      print("🌋 Loading spacy model")
      try:
          spacy.info("en_core_web_sm")
          model = "en_core_web_sm"
      except IOError:
          print("No spacy 2 model detected, using spacy1 'en' model")
          spacy.info("en")
          model = "en"
      nlp = spacy.load(model)
      doc = nlp(sentence.decode("utf-8"))
      mentions = extract_mentions_spans(
          doc, blacklist=False, debug=True
      )
      for mention in mentions:
          print(mention)
  
imports: import re
  import io
  from six import string_types, integer_types
  from spacy.tokens import Span, Token
  from neuralcoref.train.compat import unicode_
  from neuralcoref.train.utils import encode_distance, parallel_process
  import spacy
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: mention_detection_debug(sentence) without return types