Issues
- 5
请问nl2sql的数据集可以提供一下吗?谢谢
#20 opened by lkkljk - 1
大佬您好,我在调用官方预训练模型,即代码为bert_model = load_trained_model_from_checkpoint(config_path, checkpoint_path, seq_len=None)这一语句时,出现了如下问题,可以请教一下为何吗,谢谢
#28 opened by 2941894638 - 1
加载自己训练完成的模型后预测用时很久
#25 opened by zhoujuanshanghai - 2
关于relation_extraction例子中的反例样本
#23 opened by lan2720 - 5
run nl2sql_baseline.py meet the error!
#9 opened by FakerYFX - 4
- 0
k1, k2 = np.array(items.keys()).T
#27 opened by a461925358 - 0
- 0
NL2SQL复现X-SQL问题
#24 opened by ningshixian - 0
relation_extract 这个模型在原数据集上,始终是0分。
#22 opened - 1
sentiment.py中是数据文件从哪来的?
#13 opened by wan560 - 0
请教关系抽取中的repair函数
#21 opened - 0
mask在bert中的问题
#19 opened by xucncn - 0
希望修复的BUG,关于max_position_embeddings超参数
#17 opened by sangensong - 0
NL2SQL
#14 opened by goodnessSZW - 0
关于关系抽取的数据集,请教下
#16 opened by smartcatdog - 0
- 4
关于主题抽取的数据集是哪个
#12 opened by captain2017 - 7
验证集loss降不下去怎么办
#5 opened by hc944822354 - 4
关于主题抽取中的代码
#4 opened by acmilannesta - 2
您好,请教一下,在nl2sql的例子中,pcsel的shape=(?, ?, ?, ?),会导致pcsel_loss的计算报如下错误,能否指导一下怎么处理?谢谢!
#11 opened by axdwss - 2
sentiment analysis 那个例子中如何构建 prediction 函数?
#8 opened by acacess - 1
run subject_extract.py meet the error!
#10 opened by FakerYFX - 3
如何对bert微调后的模型进行加载?
#7 opened by wangxing9315 - 5
不好意思 作者 能不能问一下数据的格式是怎么样的
#3 opened by kedimomo - 0
将情感分类改为三分类时遇到expected dense_1 to have 2 dimensions, but got array with shape (32, 1, 3)
#6 opened by xxxxxxxxy - 1
where is the dataset
#2 opened by SeekPoint - 5