From a4faeceaedb30f08fd75fc1cb67709dc8076fbd4 Mon Sep 17 00:00:00 2001 From: Manuel Romero Date: Sun, 20 Sep 2020 19:12:30 +0200 Subject: [PATCH] Fix typo in model name (#7268) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c12fdc63f6..0c64dedfe2 100644 --- a/README.md +++ b/README.md @@ -83,7 +83,7 @@ To download and use any of the pretrained models on your given task, you just ne >>> from transformers import AutoTokenizer, AutoModel >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") ->>> model = AutoModel.from_pretrained("bert_base_uncased") +>>> model = AutoModel.from_pretrained("bert-base-uncased") >>> inputs = tokenizer("Hello world!", return_tensors="pt") >>> outputs = model(**inputs) @@ -93,7 +93,7 @@ or for TensorFlow: >>> from transformers import AutoTokenizer, TFAutoModel >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") ->>> model = TFAutoModel.from_pretrained("bert_base_uncased") +>>> model = TFAutoModel.from_pretrained("bert-base-uncased") >>> inputs = tokenizer("Hello world!", return_tensors="tf") >>> outputs = model(**inputs)