code: def named_entity(docs):
      """
      Adds support for spaCy's entity visualizer, which highlights named
          entities and their labels in a text.
  
      Arguments:
       docs (list, Doc, Span): Document(s) to visualize.
  
      Returns:
       Nothing. To see plots, go to your W&B run page.
  
      Example:
       wandb.log({'NER': wandb.plots.NER(docs=doc)})
      """
      deprecation_notice()
  
      spacy = util.get_module(
          "spacy",
          required="part_of_speech requires the spacy library, install with `pip install spacy`",
      )
      en_core_web_md = util.get_module(
          "en_core_web_md",
          required="part_of_speech requires the en_core_web_md library, install with `python -m spacy download en_core_web_md`",
      )
      nlp = en_core_web_md.load()
  
      if test_missing(docs=docs):
          # and test_types(docs=docs)):
          wandb.termlog("Visualizing named entity recognition.")
          html = spacy.displacy.render(
              nlp(str(docs)), style="ent", page=True, minify=True
          )
          return wandb.Html(html)
  
imports: import wandb
  from wandb import util
  from wandb.plots.utils import deprecation_notice, encode_labels, test_missing, test_types
label_desc: Use image node_id 1 for calling a global function with example usage: named_entity(docs) and returns: wandb