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@@ -25,9 +25,9 @@ The lyric creation robot is called “小L”. So at the end of the input questi
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  You can use this model directly with a pipeline for text2text generation:
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  ```python
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- >>> from transformers import BertTokenizer, T5ForConditionalGeneration, Text2TextGenerationPipeline
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- >>> tokenizer = BertTokenizer.from_pretrained("uer/t5-small-chinese-cluecorpussmall")
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  >>> model = T5ForConditionalGeneration.from_pretrained("souljoy/t5-chinese-lyric")
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  >>> text2text_generator = Text2TextGenerationPipeline(model, tokenizer)
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- >>> text2text_generator("用户:写一首歌,歌手“毛毛”,歌曲“多少年后”,以“谎言,伤痛,心爱,掩饰,退一步,寻找”为主题。\\n小L:", max_length=512, do_sample=False)
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  ```
 
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  You can use this model directly with a pipeline for text2text generation:
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  ```python
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+ >>> from transformers import T5Tokenizer, T5ForConditionalGeneration, Text2TextGenerationPipeline
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+ >>> tokenizer = T5Tokenizer.from_pretrained("souljoy/t5-chinese-lyric")
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  >>> model = T5ForConditionalGeneration.from_pretrained("souljoy/t5-chinese-lyric")
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  >>> text2text_generator = Text2TextGenerationPipeline(model, tokenizer)
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+ >>> text2text_generator("用户:写一首歌,歌手“毛毛”,歌曲“多少年后”,以“谎言,伤痛,心爱,掩饰,退一步,寻找”为主题。\\n小L:", max_length=512, do_sample=True)
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  ```