Text2Text Generation
Transformers
PyTorch
Safetensors
English
t5
Inference Endpoints
text-generation-inference
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@@ -29,10 +29,10 @@ This model was obtained by fine-tuning the corresponding google/flan-t5-xxl mode
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  - **Language(s) (NLP)**: English
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  - **Finetuned from model:** google/flan-t5-xxl
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- ### Model Sources [optional]
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  - **Repository:** https://github.com/vipulraheja/coedit
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- - **Paper [optional]:** [More Information Needed]
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  ## How to use
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  We make available the models presented in our paper.
@@ -83,9 +83,14 @@ https://github.com/vipulraheja/coedit
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  ## Citation
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  **BibTeX:**
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-
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- [More Information Needed]
 
 
 
 
 
 
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  **APA:**
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-
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- [More Information Needed]
 
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  - **Language(s) (NLP)**: English
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  - **Finetuned from model:** google/flan-t5-xxl
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+ ### Model Sources
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  - **Repository:** https://github.com/vipulraheja/coedit
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+ - **Paper:** https://arxiv.org/abs/2305.09857
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  ## How to use
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  We make available the models presented in our paper.
 
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  ## Citation
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  **BibTeX:**
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+ @article{raheja2023coedit,
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+ title={CoEdIT: Text Editing by Task-Specific Instruction Tuning},
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+ author={Vipul Raheja and Dhruv Kumar and Ryan Koo and Dongyeop Kang},
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+ year={2023},
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+ eprint={2305.09857},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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  **APA:**
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+ Raheja, V., Kumar, D., Koo, R., & Kang, D. (2023). CoEdIT: Text Editing by Task-Specific Instruction Tuning. ArXiv. /abs/2305.09857