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1import torch
2from modeling_mytext_sequence_classification import MyTextConfig, MyTextSequenceClassification
3
4config = MyTextConfig()
5model = MyTextSequenceClassification(config)
6
7input_ids = torch.randint(0, config.vocab_size, (2, 10))
8attention_mask = torch.ones_like(input_ids)
9labels = torch.tensor([0, 1])
10
11outputs = model(input_ids=input_ids, attention_mask=attention_mask, labels=labels)
12print(outputs.loss)
13print(outputs.logits)