class_docstr: Instantiated model of the BigTextMatcher.
  
  This is the instantiated model of the :class:`.BigTextMatcher`.
  For training your own model, please see the documentation of that class.
  
  ====================== ======================
  Input Annotation types Output Annotation type
  ====================== ======================
  ``DOCUMENT, TOKEN``    ``CHUNK``
  ====================== ======================
  
  Parameters
  ----------
  caseSensitive
      Whether to ignore case in index lookups
  mergeOverlapping
      Whether to merge overlapping matched chunks, by default False
  searchTrie
      SearchTrie
class_docstr_tok: ["Instantiated","model","of","the","BigTextMatcher",".","This","is","the","instantiated","model","of","the",":","class",":","`",".BigTextMatcher","`",".","For","training","your","own","model",",","please","see","the","documentation","of","that","class",".","======================","======================","Input","Annotation","types","Output","Annotation","type","======================","======================","``","DOCUMENT",",","TOKEN","``","``","CHUNK","``","======================","======================","Parameters","--","--","--","--","--","caseSensitive","Whether","to","ignore","case","in","index","lookups","mergeOverlapping","Whether","to","merge","overlapping","matched","chunks",",","by","default","False","searchTrie","SearchTrie"]
docstr: Loads the model from storage.
  
  Parameters
  ----------
  path : str
      Path to the model
  spark : :class:`pyspark.sql.SparkSession`
      The current SparkSession
  storage_ref : str
      Identifiers for the model parameters
docstr_tok: ["Loads","the","model","from","storage",".","Parameters","--","--","--","--","--","path",":","str","Path","to","the","model","spark",":",":","class",":","`","pyspark.sql.SparkSession","`","The","current","SparkSession","storage_ref",":","str","Identifiers","for","the","model","parameters"]
code: def loadStorage(path, spark, storage_ref):
      """Loads the model from storage.
  
      Parameters
      ----------
      path : str
          Path to the model
      spark : :class:`pyspark.sql.SparkSession`
          The current SparkSession
      storage_ref : str
          Identifiers for the model parameters
      """
      HasStorageModel.loadStorages(
          path, spark, storage_ref, BigTextMatcherModel.databases
      )
  
file_path: spark-nlp/python/sparknlp/annotator/matcher/big_text_matcher.py
imports: from sparknlp.common import *
  from sparknlp.annotator.matcher.text_matcher import TextMatcherModel
label_desc: Use image node_id 5 for calling the BigTextMatcherModel obj's underlying member method code with example usage: obj.loadStorage(path, spark, storage_ref) without return types