我有一个输入作为文本,我想从其中提取参数,如下例所示。"client need to pay penalty of 10% of amount if there is delay in project for more than 3 months"penalty = 10% and delay = 3在这里,我考虑了使用编解码模型。当我使用RNN作为文本输入的编码器时,我想知道将输出N个参数及其值的解码器结构是什么。解决这个问题的替代架构是什么?
提前感谢
我想用huggingface做中文文本相似度: tokenizer = BertTokenizer.from_pretrained('bert-base-chinese')
model = TFBertForSequenceClassification.from_pretrained('bert-base-chinese') 它不工作,系统报告错误: Some weights of the model checkpoint at bert-base-chinese were notSome weigh