nlp-waseda
/

roberta-base-japanese-with-auto-jumanpp

Inference Endpoints

Model card Files Files and versions Community

conan1024hao commited on Oct 15, 2022

Commit

b243c3f

•

1 Parent(s): 0d2c96f

update readme

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -23,7 +23,7 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
 tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
 model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
-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')
 ...
 ```

 tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
 model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
+sentence = '早稲田 大学 で 自然 言語 処理 を [MASK] する 。'
 encoding = tokenizer(sentence, return_tensors='pt')
 ...
 ```