model/ERCBCM.py

from torch import nn
from transformers import BertForSequenceClassification

class ERCBCM(nn.Module):
  
    def __init__(self):
        super(ERCBCM, self).__init__()
        print('>>> ERCBCM Init!')

        self.encoder = BertForSequenceClassification.from_pretrained('bert-base-uncased')

    def forward(self, text, label):
        loss, text_fea = self.encoder(text, labels=label)[:2]
        return loss, text_fea