nlp-waseda
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roberta-large-japanese

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dkawahara commited on May 10, 2022

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Updated README.md.

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@@ -20,8 +20,8 @@ This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the
 You can use this model for masked language modeling as follows:
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
-tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese")
-model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese")
 sentence = '早稲田 大学 で 自然 言語 処理 を [MASK] する 。' # input should be segmented into words by Juman++ in advance
 encoding = tokenizer(sentence, return_tensors='pt')

 You can use this model for masked language modeling as follows:
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
+tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-large-japanese")
+model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-large-japanese")
 sentence = '早稲田 大学 で 自然 言語 処理 を [MASK] する 。' # input should be segmented into words by Juman++ in advance
 encoding = tokenizer(sentence, return_tensors='pt')