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- ​T5 Model for Formality Style Transfer. Trained on the GYAFC dataset.​
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-
 
 
 
 
 
 
 
 
 
 
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  ​PyTorch model available​.
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-
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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  tokenizer = AutoTokenizer.from_pretrained("Isotonic/informal_to_formal")
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  for output in outputs:
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  line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
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  print(line)
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- ​Output: "Would you look into the two deals in question, then let me know?"
 
 
 
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+ ---
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+ language: "en"
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+ tags:
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+ - style-transfer
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+ - text-generation
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+ - Conditional Generation
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+ inference: false
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+ ---
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+
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+ # Paraphrase-Generation
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+ ## Model description​
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+ T5 Model for Formality Style Transfer. Trained on the GYAFC dataset.​
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+ ## How to use
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  ​PyTorch model available​.
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+ ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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  tokenizer = AutoTokenizer.from_pretrained("Isotonic/informal_to_formal")
 
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  for output in outputs:
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  line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
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  print(line)
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+
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+ ​Output: "Would you look into the two deals in question, then let me know?"
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+ ```