class_docstr: Wraps `SpacyNLP` output to make it fingerprintable.
class_docstr_tok: ["Wraps","`","SpacyNLP","`","output","to","make","it","fingerprintable","."]
docstr: Fingerprints the model name.
  
  Use a static fingerprint as we assume this only changes if the model name
  changes and want to avoid investigating the model in greater detail for now.
  
  Returns:
      Fingerprint for model.
docstr_tok: ["Fingerprints","the","model","name",".","Use","a","static","fingerprint","as","we","assume","this","only","changes","if","the","model","name","changes","and","want","to","avoid","investigating","the","model","in","greater","detail","for","now",".","Returns",":","Fingerprint","for","model","."]
code: def fingerprint(self) -> Text:
      """Fingerprints the model name.
  
      Use a static fingerprint as we assume this only changes if the model name
      changes and want to avoid investigating the model in greater detail for now.
  
      Returns:
          Fingerprint for model.
      """
      return str(self.model_name)
  
imports: from __future__ import annotations
  import dataclasses
  import typing
  import logging
  from typing import Any, Dict, List, Optional, Text, Tuple
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, SPACY_DOCS
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.nlu.model import InvalidModelError
  from rasa.shared.constants import DOCS_URL_COMPONENTS
label_desc: Use image node_id 1 for calling the SpacyModel obj's underlying member method code with example usage: obj.fingerprint() and returns: str