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[Docs] Fix some typo in docs.

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docs/en/getting_started.md
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@ -81,7 +81,6 @@ Optional arguments:
Examples: Examples:
Assume that you have already downloaded the checkpoints to the directory `checkpoints/`.
Infer ResNet-50 on ImageNet validation set to get predicted labels and their corresponding predicted scores. Infer ResNet-50 on ImageNet validation set to get predicted labels and their corresponding predicted scores.
```shell ```shell

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docs/en/tutorials/finetune.md
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@ -5,7 +5,7 @@ This tutorial provides instructions for users to use the models provided in the
There are two steps to fine-tune a model on a new dataset. There are two steps to fine-tune a model on a new dataset.
- Add support for the new dataset following [Tutorial 2: Adding New Dataset](new_dataset.md). - Add support for the new dataset following [Tutorial 3: Adding New Dataset](new_dataset.md).
- Modify the configs as will be discussed in this tutorial. - Modify the configs as will be discussed in this tutorial.
Assume we have a ResNet-50 model pre-trained on the ImageNet-2012 dataset and want Assume we have a ResNet-50 model pre-trained on the ImageNet-2012 dataset and want

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docs/zh_CN/getting_started.md
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@ -81,8 +81,6 @@ python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [--metrics ${METRICS}] [-
例子： 例子：
假定用户将下载的模型权重文件放置在 `checkpoints/` 目录下。
在 ImageNet 验证集上，使用 ResNet-50 进行推理并获得预测标签及其对应的预测得分。 在 ImageNet 验证集上，使用 ResNet-50 进行推理并获得预测标签及其对应的预测得分。
```shell ```shell

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docs/zh_CN/tutorials/finetune.md
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@ -6,7 +6,7 @@
在新数据集上微调模型分为两步： 在新数据集上微调模型分为两步：
- 按照 [教程 2：如何增加新数据集](new_dataset.md) 添加对新数据集的支持。 - 按照 [教程 3：如何增加新数据集](new_dataset.md) 添加对新数据集的支持。
- 按照本教程中讨论的内容修改配置文件 - 按照本教程中讨论的内容修改配置文件
假设我们现在有一个在 ImageNet-2012 数据集上训练好的 ResNet-50 模型，并且希望在 假设我们现在有一个在 ImageNet-2012 数据集上训练好的 ResNet-50 模型，并且希望在