Related Issues (20)
- 如果我需要添加或修改标签的话,需要在哪些地方进行操作? HOT 3
- 疑惑 HOT 2
- 一个关于参数的问题 HOT 5
- BERT-SPAN模型中SPAN输出的标签1具有严重的稀疏性
- tokenizer.tokenize()问题 HOT 1
- Some weights of the model checkpoint at/ BERT-NER-Pytorch-master/prev_trained_model/bert-base-chinese were not used when initializing BertCrfForNe HOT 1
- label标签疑问 HOT 1
- 关于tokenizer.tokenize的疑问 HOT 1
- 请问required parameters的list是什么呢? HOT 1
- problem
- bert_extract_item(start_logits, end_logits) 看抽取方式是不支持嵌套实体的? HOT 1
- 英文分词 HOT 2
- softmax和crf性能差距很大,参数一致,请教如何看原因调效果?
- Problem:num_samples should be a positive integer value, but got num_samples=0 HOT 2
- 目前最好的效果是基于 globalpointer 的做法吗 HOT 1
- Cner数据集
- 自定义数据集训练的话, 是不是只需要把数据集做成cluener的样子,放在dataset/cluener文件就可以了,需不需要为自己的数据集重写processor? HOT 4
- 在预测的时候遇到ValueError: expected sequence of length 517 at dim 1 (got 512)怎么办,下面是详细报错内容
- 终端输入运行指令后提示[Errno 22] Invalid argument:…………,似乎是日志处file地址的问题,请问如何解决? HOT 1
- 请问如何用训练好的模型来做文本的预测?
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from bert-ner-pytorch.