def load_model(self): model = ConvBertForSequenceClassification(self.config).from_pretrained( "sarnikowski/convbert-medium-small-da-cased", num_labels=len(self.params.tag2id), label2id=self.params.tag2id, id2label=self.params.id2tag, ) return model
def create_and_check_for_sequence_classification( self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels ): config.num_labels = self.num_labels model = ConvBertForSequenceClassification(config) model.to(torch_device) model.eval() result = model(input_ids, attention_mask=input_mask, token_type_ids=token_type_ids, labels=sequence_labels) self.parent.assertEqual(result.logits.shape, (self.batch_size, self.num_labels))