code: def create_combined_rule_model() -> Language:
      nlp = spacy.load("en_core_web_sm")
      nlp.tokenizer = combined_rule_tokenizer(nlp)
      nlp.add_pipe(pysbd_sentencizer, first=True)
      return nlp
  
file_path: scispacy/scispacy/util.py
imports: import spacy
  from spacy.language import Language
  from spacy.tokens import Doc
  from scispacy.custom_sentence_segmenter import pysbd_sentencizer
  from scispacy.custom_tokenizer import combined_rule_tokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: create_combined_rule_model() and returns: nlp