stanleylsx entity_extractor_by_ner issues

stanleylsx / entity_extractor_by_ner

基于Tensorflow2.3开发的NER模型，都是CRF范式，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF，可微调预训练模型，可对抗学习，用于命名实体识别，配置后可直接运行。

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无法下载模型，怎么操作呢？

#26 tyn513 closed 3 years ago
1
Finetune-Bert-CRF

#25 chenjiawei22 closed 3 years ago
1
bert

#24 chenjiawei22 closed 3 years ago
1
bert模型位置

#23 lzy0609 closed 3 years ago
2
Bump tensorflow-gpu from 2.3.0 to 2.5.1

#22 dependabot[bot] closed 2 years ago
1
自己准备好训练集之后出现这种情况，请问怎么解决

#21 End1i closed 3 years ago
0
Bump tensorflow-gpu from 2.3.0 to 2.4.2

#20 dependabot[bot] closed 3 years ago
1
关于数据集标注

#19 iiixiscientia closed 3 years ago
1
你好，请问你改成tf.data之后，GPU的利用率以及训练效率有提升么

#18 hanggun closed 3 years ago
2
Bump urllib3 from 1.25.10 to 1.26.5

#17 dependabot[bot] closed 3 years ago
1
转换类型有问题

#16 zhu13818202655 closed 3 years ago
1
Bump rsa from 4.6 to 4.7

#15 dependabot[bot] closed 3 years ago
1
acc 全为0

#14 kkxcam closed 2 years ago
3
代码有点问题

#13 CoderBinGe closed 3 years ago
3
请教下关系抽取？

#12 onex7777 closed 3 years ago
3
ValueError: Tensor conversion requested dtype int32 for Tensor with dtype int64: <tf.Tensor 'targets:0' shape=(32, 300) dtype=int64>

#11 dongkcs closed 3 years ago
2
请问我想用自己数据文件来命名实体，再写入文件，但是总是显失多个loop,并且出不来结果，这该怎么办

#10 yyqx-wjj closed 3 years ago
1
要是有测试集测试就完美了

#9 Tony0726 closed 3 years ago
2
Bump tensorflow-gpu from 2.3.0 to 2.4.0

#8 dependabot[bot] closed 3 years ago
1
没有GPU也可以跑吗

#7 liangbingtao closed 3 years ago
1
GPU 使用率

#6 ancue closed 3 years ago
1
Could not generate token2id file

#5 geo47 closed 3 years ago
1
请问是否可以用tf-serving部署？

#4 DachuanZhao closed 3 years ago
2
Bump tensorflow-gpu from 2.3.0 to 2.3.1

#3 dependabot[bot] closed 4 years ago
1
Bump tensorflow from 1.13.2 to 1.15.2

#2 dependabot[bot] closed 4 years ago
1
Bump tensorflow from 1.13.2 to 1.15.0

#1 dependabot[bot] closed 4 years ago
1