From 20273ee214d253eaa133ac3f146cf778d843ace4 Mon Sep 17 00:00:00 2001 From: Ritesh Ghorse Date: Mon, 19 Jun 2023 12:26:55 -0400 Subject: [PATCH] [Doc Fix] Fix model name path in the transformers doc for AutoClasses (#24329) fix model name path Co-authored-by: Ritesh Ghorse --- docs/source/en/tasks/masked_language_modeling.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/en/tasks/masked_language_modeling.mdx b/docs/source/en/tasks/masked_language_modeling.mdx index c81b27f33c82..1452f161b161 100644 --- a/docs/source/en/tasks/masked_language_modeling.mdx +++ b/docs/source/en/tasks/masked_language_modeling.mdx @@ -376,7 +376,7 @@ Tokenize the text and return the `input_ids` as PyTorch tensors. You'll also nee ```py >>> from transformers import AutoTokenizer ->>> tokenizer = AutoTokenizer.from_pretrained("my_awesome_eli5_mlm_model") +>>> tokenizer = AutoTokenizer.from_pretrained("stevhliu/my_awesome_eli5_mlm_model") >>> inputs = tokenizer(text, return_tensors="pt") >>> mask_token_index = torch.where(inputs["input_ids"] == tokenizer.mask_token_id)[1] ``` @@ -409,7 +409,7 @@ Tokenize the text and return the `input_ids` as TensorFlow tensors. You'll also ```py >>> from transformers import AutoTokenizer ->>> tokenizer = AutoTokenizer.from_pretrained("my_awesome_eli5_mlm_model") +>>> tokenizer = AutoTokenizer.from_pretrained("stevhliu/my_awesome_eli5_mlm_model") >>> inputs = tokenizer(text, return_tensors="tf") >>> mask_token_index = tf.where(inputs["input_ids"] == tokenizer.mask_token_id)[0, 1] ```