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ModelZoo
BERT_tensorflow
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1b24bf68
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1b24bf68
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Apr 11, 2025
by
chenzk
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...
@@ -31,7 +31,6 @@ squad问答数据集:[train-v1.1.json](https://rajpurkar.github.io/SQuAD-explo
...
@@ -31,7 +31,6 @@ squad问答数据集:[train-v1.1.json](https://rajpurkar.github.io/SQuAD-explo
squad-v1.1 eval脚本:
[
evaluate-v1.1.py
](
https://github.com/allenai/bi-att-flow/blob/master/squad/evaluate-v1.1.py
)
squad-v1.1 eval脚本:
[
evaluate-v1.1.py
](
https://github.com/allenai/bi-att-flow/blob/master/squad/evaluate-v1.1.py
)
数据集快速下载中心:
[
SCNet AIDatasets
](
http://113.200.138.88:18080/aidatasets
)
,项目中数据集可从快速下载通道下载:
[
MNLI
](
http://113.200.138.88:18080/aidatasets/project-dependency/mnli/-/raw/master/MNLI.zip
)
。
### 预训练模型
### 预训练模型
...
@@ -39,9 +38,6 @@ squad-v1.1 eval脚本:[evaluate-v1.1.py](https://github.com/allenai/bi-att-flo
...
@@ -39,9 +38,6 @@ squad-v1.1 eval脚本:[evaluate-v1.1.py](https://github.com/allenai/bi-att-flo
[
bert-large-uncase(squad问答使用此模型)
](
https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-24_H-1024_A-16.zip
)
[
bert-large-uncase(squad问答使用此模型)
](
https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-24_H-1024_A-16.zip
)
预训练权重快速下载中心:
[
SCNet AIModels
](
http://113.200.138.88:18080/aimodels
)
,项目中的预训练权重可从快速下载通道下载:
[
bert-base-uncace(MNLI分类时使用此模型)
](
http://113.200.138.88:18080/aidatasets/project-dependency/bert_models/-/raw/main/uncased_L-12_H-768_A-12.zip
)
、
[
bert-large-uncase(squad问答使用此模型)
](
http://113.200.138.88:18080/aidatasets/project-dependency/bert_models/-/raw/main/uncased_L-24_H-1024_A-16.zip?ref_type=heads
)
。
`MNLI数据集`
`MNLI数据集`
```
```
...
...
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