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更正typo否则报错 #49

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更正typo否则报错 #49

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c0e4405
更正pipline到pipeline，更正example，原example有typo，跑不通
Yonggie Apr 30, 2023
e1f9b18
修改example typo，否则报错
Yonggie May 1, 2023
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8 changes: 4 additions & 4 deletions source/docs/二郎神系列/Erlangshen-Ubert-110M-Chinese.md
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Original file line number Diff line number Diff line change
Expand Up @@ -49,10 +49,10 @@ pip install --editable ./
一键运行下面代码得到预测结果, 你可以任意修改示例 text 和要抽取的 entity_type，体验一下 Zero-Shot 性能
```python
import argparse
from fengshen import UbertPiplines
from fengshen import UbertPipelines

total_parser = argparse.ArgumentParser("TASK NAME")
total_parser = UbertPiplines.piplines_args(total_parser)
total_parser = UbertPipelines.pipelines_args(total_parser)
args = total_parser.parse_args()
args.pretrained_model_path = 'IDEA-CCNL/Erlangshen-Ubert-110M-Chinese' #预训练模型路径
test_data=[
Expand All @@ -67,7 +67,7 @@ test_data=[
"id": 0}
]

model = UbertPiplines(args)
model = UbertPipelines(args)
result = model.predict(test_data)
for line in result:
print(line)
Expand Down Expand Up @@ -99,7 +99,7 @@ for line in result:

### 数据预处理示例

整个模型的 Piplines 我们已经写好，所以为了方便，我们定义了数据格式。目前我们在预训练中主要含有一下几种任务类型
整个模型的 Pipelines 我们已经写好，所以为了方便，我们定义了数据格式。目前我们在预训练中主要含有一下几种任务类型

| task_type | subtask_type |
|:---------:|:--------------:|
Expand Down
8 changes: 4 additions & 4 deletions source/docs/二郎神系列/Erlangshen-Ubert-330M-Chinese.md
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Original file line number Diff line number Diff line change
Expand Up @@ -49,10 +49,10 @@ Run the code

```python
import argparse
from fengshen import UbertPiplines
from fengshen import UbertPipelines

total_parser = argparse.ArgumentParser("TASK NAME")
total_parser = UbertPiplines.piplines_args(total_parser)
total_parser = UbertPipelines.pipelines_args(total_parser)
args = total_parser.parse_args()

args.pretrained_model_path = "IDEA-CCNL/Erlangshen-Ubert-330M-Chinese"
Expand All @@ -69,7 +69,7 @@ test_data=[
"id": 0}
]

model = UbertPiplines(args)
model = UbertPipelines(args)
result = model.predict(test_data)
for line in result:
print(line)
Expand Down Expand Up @@ -101,7 +101,7 @@ for line in result:

## 数据预处理示例

整个模型的 Piplines 我们已经写好，所以为了方便，我们定义了数据格式。目前我们在预训练中主要含有一下几种任务类型
整个模型的 Pipelines 我们已经写好，所以为了方便，我们定义了数据格式。目前我们在预训练中主要含有一下几种任务类型

| task_type | subtask_type |
|:---------:|:--------------:|
Expand Down