class_docstr: Download and process (unzip) pre-trained Chunker model
class_docstr_tok: ["Download","and","process","(","unzip",")","pre-trained","Chunker","model"]
code: def __init__(self):
      super().__init__("chunker", self.sub_path, self.files)
      ChunkerModel._instance = self
  
imports: from nlp_architect.utils.io import uncompress_file, zipfile_list
  from nlp_architect.utils.file_cache import cached_path
  from nlp_architect import LIBRARY_OUT
label_desc: Use image node_id 1 to create a new ChunkerModel object from inherited base classes: PretrainedModel with example: obj = ChunkerModel()