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tuner007
/
pegasus_paraphrase

Transformers
PyTorch
English
pegasus
text2text-generation
paraphrasing
seq2seq
Model card Files Files and versions
xet
Community
17

Instructions to use tuner007/pegasus_paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tuner007/pegasus_paraphrase with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tuner007/pegasus_paraphrase")
    model = AutoModelForSeq2SeqLM.from_pretrained("tuner007/pegasus_paraphrase")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Update README.md

#17 opened 4 months ago by
ReactionControl

[AUTOMATED] Model Memory Requirements

#16 opened over 2 years ago by
model-sizer-bot

Request: DOI

#15 opened almost 3 years ago by
john1223

Offline Execution

#14 opened almost 3 years ago by
DH512

How can I fine tone this model?

#13 opened almost 3 years ago by
xzm2001

Fine tuning

#12 opened almost 3 years ago by
aleandrananu

Adding `safetensors` variant of this model

#11 opened about 3 years ago by
SFconvertbot

Training/dataset details

👍 11
#10 opened over 3 years ago by
silvia-casola

This rephraser replaces words with 800 numbers. Extremely undesirable.

#9 opened over 3 years ago by
APIS-AI

Make Paraphrasing Faster

#8 opened over 3 years ago by
hiddenchamp

Update README.md

#7 opened over 3 years ago by
mosidi

Does it support fast XLA text generation ?

#5 opened over 3 years ago by
bakrianoo

I am trying to furthur finetune this model so the similarity score between input text and the output is as diffrent as possible.

👍 1
1
#4 opened almost 4 years ago by
affan14

Training a paraphrase model in other language

#3 opened almost 4 years ago by
thebluetick

How to make the text longer?

2
#2 opened almost 4 years ago by
hiddenchamp
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