class_docstr: Use MLP to fuse different models' features (single-modal and multimodal) for NER.
  Specifically, it adapts the features of each model to specified dimensions,
  concatenates the adapted features, and fuses the features through MLP.
code: def label_key(self):
      return f"{NER_TEXT}_{LABEL}"
  
file_path: autogluon/multimodal/src/autogluon/multimodal/models/fusion/fusion_ner.py
imports: import logging
  from typing import List, Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from ...constants import AUTOMM, FEATURES, LABEL, LOGITS, NER_ANNOTATION, NER_TEXT, TOKEN_WORD_MAPPING, WORD_OFFSETS
  from ..mlp import MLP
  from ..utils import run_model
  from .base import AbstractMultimodalFusionModel
label_desc: Use image node_id 2 for calling the MultimodalFusionNER obj's underlying member method code with example usage: obj.label_key() and returns: NER_TEXT, str, LABEL