我修改了alphabet为我自己的字典，训练模型也没有出现问题，但是测试时（demo.py）提示
size mismatch for rnn.1.embedding.weight: copying a param with shape torch.Size([6736, 512]) from checkpoint, the shape in current model is torch.Size([12, 512]).
size mismatch for rnn.1.embedding.bias: copying a param with shape torch.Size([6736]) from checkpoint, the shape in current model is torch.Size([12]).
我查看了神经网络，我没有看到embedding在哪里^，为自己的识别模型只有数字，字母表长度为12，如何修改才能运行，望诸位告知。
我修改了alphabet为我自己的字典，训练模型也没有出现问题，但是测试时（demo.py）提示 size mismatch for rnn.1.embedding.weight: copying a param with shape torch.Size([6736, 512]) from checkpoint, the shape in current model is torch.Size([12, 512]). size mismatch for rnn.1.embedding.bias: copying a param with shape torch.Size([6736]) from checkpoint, the shape in current model is torch.Size([12]). 我查看了神经网络，我没有看到embedding在哪里^，为自己的识别模型只有数字，字母表长度为12，如何修改才能运行，望诸位告知。