ku-nlp
/

roberta-base-japanese-char-wwm

Inference Endpoints

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Nobuhiro Ueda commited on Sep 20, 2022

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e82a1b8

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1 Parent(s): 3d802fd

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README.md +2 -2

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@@ -22,8 +22,8 @@ You can use this model for masked language modeling as follows:
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
-tokenizer = AutoTokenizer.from_pretrained("ku-nlp/roberta-base-japanese-char-wwm")
-model = AutoModelForMaskedLM.from_pretrained("ku-nlp/roberta-base-japanese-char-wwm")
 sentence = '京都大学で自然言語処理を[MASK]する。'
 encoding = tokenizer(sentence, return_tensors='pt')

 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
+tokenizer = AutoTokenizer.from_pretrained('ku-nlp/roberta-base-japanese-char-wwm')
+model = AutoModelForMaskedLM.from_pretrained('ku-nlp/roberta-base-japanese-char-wwm')
 sentence = '京都大学で自然言語処理を[MASK]する。'
 encoding = tokenizer(sentence, return_tensors='pt')