class_docstr: Factory class to create the different tensorflow graphs for ner_dl
class_docstr_tok: ["Factory","class","to","create","the","different","tensorflow","graphs","for","ner_dl"]
docstr: Method that return the available tf models in  spark-nlp healthcare
  
  Examples
  --------
  >>> from sparknlp.training.tfgraphs import tf_graph_1x
  >>> tf_graph_1x.get_models()
docstr_tok: ["Method","that","return","the","available","tf","models","in","spark-nlp","healthcare","Examples","--","--","--","--",">",">",">","from","sparknlp.training.tfgraphs","import","tf_graph_1x",">",">",">","tf_graph_1x.get_models","(",")"]
code: def get_models():
      """
      Method that return the available tf models in  spark-nlp healthcare
  
      Examples
      --------
      >>> from sparknlp.training.tfgraphs import tf_graph_1x
      >>> tf_graph_1x.get_models()
  
      """
      return list(TFGraphBuilderFactory.__model_builders.keys())
  
imports: import os
  import re
  from sparknlp.internal import _ResourceHelper_moveFile
  from sparknlp.training._tf_graph_builders.ner_dl.create_graph import create_graph
label_desc: Use image node_id 1 for calling the TFGraphBuilderFactory obj's underlying member method code with example usage: obj.get_models() and returns: list