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docs/zh: fix style (#31334)

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谭九鼎 2024-06-10 18:40:40 +08:00 committed by GitHub
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docs/source/zh/task_summary.md
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@ -284,7 +284,6 @@ score: 0.9327, start: 30, end: 54, answer: huggingface/transformers
有两种类型的话语模型： 有两种类型的话语模型：
* causal：模型的目标是预测序列中的下一个`token`，而未来的`tokens`被遮盖。 * causal：模型的目标是预测序列中的下一个`token`，而未来的`tokens`被遮盖。
```py ```py
>>> from transformers import pipeline >>> from transformers import pipeline
@ -294,9 +293,8 @@ score: 0.9327, start: 30, end: 54, answer: huggingface/transformers
>>> generator(prompt) # doctest: +SKIP >>> generator(prompt) # doctest: +SKIP
``` ```
* masked：模型的目标是预测序列中被遮蔽的`token`，同时具有对序列中所有`tokens`的完全访问权限。 * masked：模型的目标是预测序列中被遮蔽的`token`，同时具有对序列中所有`tokens`的完全访问权限。
```py ```py
>>> text = "Hugging Face is a community-based open-source <mask> for machine learning." >>> text = "Hugging Face is a community-based open-source <mask> for machine learning."
>>> fill_mask = pipeline(task="fill-mask") >>> fill_mask = pipeline(task="fill-mask")