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chinesener-pytorch's Issues

错误

百度云下载下来的lstm的模型文件与constants,py中要求的lstm文件不匹配，不知道哪里能找到合格的lstm文件

数据类型

您好这个模型可以用来跑别的类别的数据吗，如何修改呢，小白不太会……

运行的时候报错了

Traceback (most recent call last):
File "train.py", line 89, in
loss = model.neg_log_likelihood_loss(sentence, masks, tags)
File "/usr/local/ChineseNER-pytorch-main/model/bert_lstm_crf.py", line 62, in neg_log_likelihood_loss
lstm_feats = self.get_output_score(sentence)
File "/usr/local/ChineseNER-pytorch-main/model/bert_lstm_crf.py", line 42, in get_output_score
embeds, _ = self.word_embeds(sentence, attention_mask=attention_mask, output_all_encoded_layers=False)
TypeError: 'NoneType' object is not callable

缺失文件

这代码有问题，本地训练好了，但是在wrapper模块调用时报错:

Unexpected key(s) in state_dict: "lstm.weight_ih_l1", "lstm.weight_hh_l1", "lstm.bias_ih_l1", "lstm.bias_hh_l1", "lstm.weight_ih_l1_reverse", "lstm.weight_hh_l1_reverse", "lstm.bias_ih_l1_reverse", "lst
m.bias_hh_l1_reverse".

另外百度网盘中的idcnn_1e5.pkl不起作用

最后调用chineseNER.sh 时缺失文件比如predict.py等

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