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stanleylsx
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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
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