Related Issues (20)
- 如果希望对特定种类的文本的句子提取句子向量,怎样对模型进行微调更合适 HOT 1
- 模型训练正常,auc较好,设置为PREDICT模式时候抛错issue 3770
- 相似度计算
- 请教一下,利用问答对进行fine-turning后的模型,然后获取向量的方法跟extract_feature文件中的方法一致么?此外,这样获取向量跟训练阶段是不一致的,因为输入数据是单个,训练的时候是一对数据?
- 如何用自己的语料库微调模型
- 请问一下这个怎么看结果啊
- The BQ Corpus.pdf 无法查看
- 加载过graph后,还是比较慢,所需时间是 bert-as-service的20倍,这是为什么? HOT 2
- 对sentence进行相似度预测时输入分词错误 HOT 1
- 本机windows环境中转向量正常, 在linux环境下启动脚本,程序僵死,一直处于高cpu占用状态
- 直接用bert句向量结果计算相似度,任意两个句子的余弦值都很高,请问这是什么原因 HOT 4
- 请问生成句向量的模块如何使用tfServing进行部署?
- 请问句向量的负值怎样能去掉或者变成全部正的呢?只能用relu函数变成0吗?
- 为什么运行feature.py时,没有graph生成,
- 这个是怎么回事 HOT 1
- 你这个代码有个大坑! HOT 2
- 运行extract-feature.py时遇到的问题。 HOT 2
- 缺少相关配置文件 HOT 1
- similarity识别率太低
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from bert-utils.