From 7e6b6fbec9ce46d29e5bc37a24185188ed876511 Mon Sep 17 00:00:00 2001 From: Terencio Agozzino Date: Mon, 19 Oct 2020 14:43:25 +0200 Subject: [PATCH] style: fix typo in the README (#7882) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 57bb38048d..9f9600b4dc 100644 --- a/README.md +++ b/README.md @@ -81,7 +81,7 @@ This is another example of pipeline used for that can extract question answers f On top of the answer, the pretrained model used here returned its confidence score, along with the start position and its end position in the tokenized sentence. You can learn more about the tasks supported by the `pipeline` API in [this tutorial](https://huggingface.co/transformers/task_summary.html). -To download and use any of the pretrained models on your given task, you just need to use those three lines of codes (PyTorch verison): +To download and use any of the pretrained models on your given task, you just need to use those three lines of codes (PyTorch version): ```python >>> from transformers import AutoTokenizer, AutoModel