code: def forward(self, inputs):
      output = self.transformer(**inputs)["logits"]
  
      return output
  
imports: import torch.nn
  from transformers import AutoConfig, AutoModelForSequenceClassification
label_desc: Use image node_id 2 for calling the TransformerModel obj's underlying member method code with example usage: obj.forward(inputs) and returns: output