class_docstr: A wrapper to use SequenceLabeler ontop of indico's PDFExtraction APi
  in ondocument mode with labels at a document charachter level.
class_docstr_tok: ["A","wrapper","to","use","SequenceLabeler","ontop","of","indico","'s","PDFExtraction","APi","in","ondocument","mode","with","labels","at","a","document","charachter","level","."]
code: def _get_input_pipeline(self):
      return DocumentPipeline(
          config=self.config,
          multi_label=self.config.multi_label_sequences,
      )
  
file_path: finetune/finetune/target_models/document_labeling.py
imports: import warnings
  from finetune.target_models.sequence_labeling import SequenceLabeler, SequencePipeline
  from finetune.encoding.input_encoder import EncodedOutput
  from finetune.errors import FinetuneError
  from finetune.base_models import DocRep, LayoutLM, XDocBase
  from finetune.util.context_utils import get_context_doc_rep
label_desc: Use image node_id 1 for calling the DocumentLabeler obj's underlying member method code with example usage: obj._get_input_pipeline() and returns: DocumentPipeline