class_docstr: This is a simple class of models that tags individual words in text.
code: def _get_embedding_for_data_point(
      self, prediction_data_point: Token
  ) -> torch.Tensor:
      names = self.embeddings.get_names()
      return prediction_data_point.get_embedding(names)
  
imports: import logging
  from pathlib import Path
  from typing import Any, Dict, List, Union
  import torch
  from deprecated.sphinx import deprecated
  import flair.nn
  from flair.data import Dictionary, Sentence, Span, Token
  from flair.embeddings import TokenEmbeddings
label_desc: Use image node_id 6 for calling the TokenClassifier obj's underlying member method code with example usage: obj._get_embedding_for_data_point(prediction_data_point) and returns: prediction_data_point