text: import torch
  import torch.nn as nn
  import torch.nn.functional as F
  
  
  class MLP(nn.Module):
      def __init__(self, D_in, D_out):
          super().__init__()
          self.linear = nn.Linear(D_in, D_out)
      def forward(self,x):
          x = self.linear(x)
          x = F.relu(x)
          return x
  
  
  class SCORE(nn.Module):
      def __init__(self, D_in, D_mid, D_out):
          super().__init__()
          self.linear1 = nn.Linear(D_in, D_mid)
          self.linear2 = nn.Linear(D_mid, D_out)
      def forward(self,x):
          x = self.linear1(x)
          x = self.linear2(x)
          return x
  
  
  def sst_trainer():
      #1. 그냥 버전
      #2. fairfilter 추가버전
      #3. 우리 개선사항 추가버전 일케 3종류 finetuning
  
      #fairfil.py랑 거의 똑같이 하면 될듯?
      #bert for sequence classification 참고
      # https://huggingface.co/transformers/model_doc/bert.html#bertforsequenceclassification
      return