From 47146721b800809c94151084fcc629e07b21b75a Mon Sep 17 00:00:00 2001 From: Nathan Barry <38043930+nathan-barry@users.noreply.github.com> Date: Mon, 26 Dec 2022 01:06:23 -0600 Subject: [PATCH] typo fix (#20891) --- docs/source/en/quicktour.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/en/quicktour.mdx b/docs/source/en/quicktour.mdx index cf41ebb8d8..8b56eac0be 100644 --- a/docs/source/en/quicktour.mdx +++ b/docs/source/en/quicktour.mdx @@ -164,7 +164,7 @@ If you can't find a model for your use-case, you'll need to finetune a pretraine -Under the hood, the [`AutoModelForSequenceClassification`] and [`AutoTokenizer`] classes work together to power the [`pipeline`] you used above. An [AutoClass](./model_doc/auto) is a shortcut that automatically retrieves the architecture of a pretrained model from it's name or path. You only need to select the appropriate `AutoClass` for your task and it's associated preprocessing class. +Under the hood, the [`AutoModelForSequenceClassification`] and [`AutoTokenizer`] classes work together to power the [`pipeline`] you used above. An [AutoClass](./model_doc/auto) is a shortcut that automatically retrieves the architecture of a pretrained model from its name or path. You only need to select the appropriate `AutoClass` for your task and it's associated preprocessing class. Let's return to the example from the previous section and see how you can use the `AutoClass` to replicate the results of the [`pipeline`].