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from transformers import BertForTokenClassification | |
import torch | |
class BertModel(torch.nn.Module): | |
def __init__(self, pretrained_model, num_labels): | |
super(BertModel, self).__init__() | |
self.bert = BertForTokenClassification.from_pretrained(pretrained_model, num_labels=num_labels) | |
def forward(self, input_id, mask, label): | |
output = self.bert(input_ids=input_id, attention_mask=mask, labels=label, return_dict=False) | |
return output |