Fix small typo README.md (#25934)

* fix some samll bugs in readme

* Update docs/README.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
zspo
2023-09-06 21:07:29 +08:00
committed by GitHub
parent 842e99f1b9
commit 3e203f92be
5 changed files with 5 additions and 5 deletions

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@@ -81,7 +81,7 @@ The `preview` command only works with existing doc files. When you add a complet
## Adding a new element to the navigation bar
Accepted files are Markdown (.md or .md).
Accepted files are Markdown (.md).
Create a file with its extension and put it in the source directory. You can then link it to the toc-tree by putting
the filename without the extension in the [`_toctree.yml`](https://github.com/huggingface/transformers/blob/main/docs/source/en/_toctree.yml) file.

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@@ -407,7 +407,7 @@ tensor([[0.0021, 0.0018, 0.0115, 0.2121, 0.7725],
## Trainer - PyTorch优化训练循环
所有的模型都是标准的[`torch.nn.Module`](https://pytorch.org/docs/stable/nn.html#torch.nn.Module), 所以你可以在任何典型的训练模型中使用它们. 当你编写自己的训练循环时W, 🤗 Transformers为PyTorch提供了一个[`Trainer`]类, 它包含了基础的训练循环并且为诸如分布式训练, 混合精度等特性增加了额外的功能.
所有的模型都是标准的[`torch.nn.Module`](https://pytorch.org/docs/stable/nn.html#torch.nn.Module), 所以你可以在任何典型的训练模型中使用它们. 当你编写自己的训练循环时, 🤗 Transformers为PyTorch提供了一个[`Trainer`]类, 它包含了基础的训练循环并且为诸如分布式训练, 混合精度等特性增加了额外的功能.
取决于你的任务, 你通常可以传递以下的参数给[`Trainer`]: