code: def __init__(self, ls_weight_path, hf_model):
      self.ls_bert = lsi.QuantBert(ls_weight_path, 8)
      self.classifier = hf_model.classifier
  
imports: import time
  import torch
  from transformers import BertTokenizer, BertForTokenClassification, BertConfig
  import lightseq.inference
  from lightseq.training.ops.pytorch.quantization import qat_mode
  from lightseq.training.ops.pytorch.torch_transformer_layers import BertEmbeddingLayer, TransformerEncoderLayer
  from export.util import parse_args
label_desc: Use image node_id 1 to create a new LightseqBertClassification object  with example: obj = LightseqBertClassification(ls_weight_path, hf_model)