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align_to_words=False

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  1. README.md +3 -8
README.md CHANGED
@@ -27,16 +27,11 @@ This is a DeBERTa(V2) model pretrained on 青空文庫 for dependency-parsing (h
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  ## How to Use
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  ```py
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- import torch
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- from transformers import AutoTokenizer,AutoModelForQuestionAnswering
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  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic-ud-head")
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  model=AutoModelForQuestionAnswering.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic-ud-head")
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- question="国語"
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- context="全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
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- inputs=tokenizer(question,context,return_tensors="pt")
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- outputs=model(**inputs)
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- start,end=torch.argmax(outputs.start_logits),torch.argmax(outputs.end_logits)
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- print(tokenizer.convert_ids_to_tokens(inputs["input_ids"][0,start:end+1]))
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  ```
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  or
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  ## How to Use
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  ```py
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+ from transformers import AutoTokenizer,AutoModelForQuestionAnswering,QuestionAnsweringPipeline
 
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  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic-ud-head")
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  model=AutoModelForQuestionAnswering.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic-ud-head")
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+ qap=QuestionAnsweringPipeline(tokenizer=tokenizer,model=model,align_to_words=False)
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+ print(qap(question="国語",context="全学年にわたって小学校の国語の教科書に挿し絵>が用いられている"))
 
 
 
 
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  ```
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  or