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@@ -4,12 +4,27 @@ license: cc-by-nc-3.0
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  T5-base model trained for text paraphrase
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- Please find more training details in our paper:
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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- @article{zhang2022decay,
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- title={Decay No More: A Persistent Twitter Dataset for Learning Social Meaning},
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- author={Zhang, Chiyu and Abdul-Mageed, Muhammad and Nagoudi, El Moatez Billah},
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- journal={arXiv preprint arXiv:2204.04611},
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- year={2022}
 
 
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  }
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  ```
 
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  T5-base model trained for text paraphrase
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+ You can load this model by:
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+ ```python
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+ from transformers import T5ForConditionalGeneration,T5TokenizerFast
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+
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+ model = T5ForConditionalGeneration.from_pretrained(model_name_or_path)
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+ tokenizer = T5TokenizerFast.from_pretrained(model_name_or_path)
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+ ```
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+
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+ A prefix "paraphrase: " should be added in font of the input sequence, i.e.:
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+ ```python
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+ input_st = "paraphrase: " + text + " </s>"
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+ ```
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+
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+ Please find more training details in our paper:
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  ```
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+ @inproceedings{zhang2022decay,
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+ title={Decay No More: A Persistent Twitter Dataset for Learning Social Meaning},
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+ author={Zhang, Chiyu and Abdul-Mageed, Muhammad and Nagoudi, El Moatez Billah},
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+ booktitle ={Proceedings of 1st Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS)},
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+ year={2022},
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+ url = {https://arxiv.org/pdf/2204.04611.pdf},
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+ publisher = {{AAAI} Press},
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  }
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  ```