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@@ -12,10 +12,10 @@ rebel-base-chinese-cndbpedia is a generation-based relation extraction model
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  ·input is sentence,and output is linearlize triples,such as input:姚明是一名NBA篮球运动员 output:[subj]姚明[obj]NBA[rel]公司[obj]篮球运动员[rel]职业(more details can read on REBEL paper)
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- using model:
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  '''
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  from transformers import BertTokenizer, BartForConditionalGeneration
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- # load tokenizer
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  model_name = 'fnlp/bart-base-chinese'
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  tokenizer_kwargs = {
 
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  ·input is sentence,and output is linearlize triples,such as input:姚明是一名NBA篮球运动员 output:[subj]姚明[obj]NBA[rel]公司[obj]篮球运动员[rel]职业(more details can read on REBEL paper)
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+ #using model:
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  '''
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  from transformers import BertTokenizer, BartForConditionalGeneration
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+
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  model_name = 'fnlp/bart-base-chinese'
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  tokenizer_kwargs = {