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))