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26 Open 124 Closed
26 Open 124 Closed
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Issues list

could not broadcast input array from shape (2,13) into shape (2,)
#173 opened Sep 29, 2024 by dengqiqi123
3
大佬请教个问题
#172 opened Sep 23, 2024 by wuxiaohui0
1
gridlabels的构建
#170 opened Jun 7, 2024 by wuxiaohui0
1
NER嵌套实体识别bug
#169 opened May 29, 2024 by tianchiguaixia
4
Text2Vec加载BAAI_bge-large-zh-v1.5进行相似度计算得到的结果有误
#168 opened Apr 1, 2024 by sslalxh
2
加载Yi-6B进行lora微调报错
#166 opened Mar 15, 2024 by zhadandeiren
1
self.random_sample和 self.beam_search返回值tensor未统一转化numpy，导致两函数同时调用报错 bug Something isn't working
#165 opened Mar 2, 2024 by ocyisheng
2
callback变红
#164 opened Dec 21, 2023 by lili-li-cpu
3
分类算法sentence句子编码的时候，没理解到mask处理逻辑
#158 opened Nov 14, 2023 by cwqJim2023
1
bert4torch版本0.2.8升级到0.3.4问题
#157 opened Nov 7, 2023 by kakaxzc
2
LLM：chatGLM2推理加速
#156 opened Oct 26, 2023 by Lxhnnn
1
tokenizer_encode_config和tokenizer_decode_config问题
#147 opened Aug 10, 2023 by YiTouch
3
训练进度条中，loss一直显示Nan的问题
#144 opened Jul 27, 2023 by Yikai-Liao
5
convert sequence labeling model to onnx
#143 opened Jul 21, 2023 by feng-1985
1
使用AutoModel替代build_transformer_model，发现其参数在训练过程中不会被更新
#140 opened Jul 2, 2023 by ZayIsAllYouNeed
14
安装时报错：Could not find a version that satisfies the requirement
#133 opened May 19, 2023 by WenjingBao
10
W2NER模型加载不连续实体的data todo list New feature or request
#122 opened Apr 19, 2023 by Bureaux-Tao
3
deberta_v2保存的模型非常大
#118 opened Apr 4, 2023 by leizhu1989
2
accelerate 不支持对抗训练
#113 opened Mar 28, 2023 by skykiseki
1
TSDAE测试结果异常，spearman分值极低甚至会NAN，检查dataset和collate_fn无问题，请问可能是什么原因？ help wanted Extra attention is needed
#74 opened Nov 21, 2022 by rutonggaoya
1
想调用未内置的模型的请进
#72 opened Nov 18, 2022 by Tongjilibo
MRC式抽取模型与原文是不是有点出入
#68 opened Nov 16, 2022 by Bureaux-Tao
1
大佬，有意复现这篇CNER吗？ todo list New feature or request
#66 opened Nov 10, 2022 by nlper01
3
多机多卡分布式训练如何实现？ todo list New feature or request
#62 opened Nov 7, 2022 by 447428054
4
预训练模型加载出错的请进 documentation Improvements or additions to documentation
#47 opened Oct 13, 2022 by Tongjilibo
2
ProTip! Adding no:label will show everything without a label.