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UBC-NLP/
ptsm_t5_paraphraser

Name: ptsm_t5_paraphraser
Availability: InStock

text-generation-inference

endpoints_compatible

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T5-base model trained for text paraphrase

You can load this model by:

python

from transformers import T5ForConditionalGeneration,T5TokenizerFast

model = T5ForConditionalGeneration.from_pretrained(model_name_or_path)
tokenizer = T5TokenizerFast.from_pretrained(model_name_or_path)

A prefix "paraphrase: " should be added in font of the input sequence, i.e.:

input_st = "paraphrase: " + text + " </s>"

You can find our scripts for generation in our project GitHub Please find more training details in our paper:

Decay No More: A Persistent Twitter Dataset for Learning Social Meaning

Accepted by 1st Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media @ ICWSM-2022

@inproceedings{zhang2022decay,
 title={Decay No More: A Persistent Twitter Dataset for Learning Social Meaning},
 author={Zhang, Chiyu and Abdul-Mageed, Muhammad and Nagoudi, El Moatez Billah},
 booktitle ={Proceedings of 1st Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS)}, 
 year={2022},
 url = {https://arxiv.org/pdf/2204.04611.pdf},
 publisher = {{AAAI} Press}, 
}

UBC-NLP/ptsm_t5_paraphraser

T5-base model trained for text paraphrase

UBC-NLP/
ptsm_t5_paraphraser