Grammarly
Rank:Average Model Cost: $0.0000
Number of Runs: 8,680
Models by this creator
coedit-large
coedit-large
The CoEdIT-Large model is a text-to-text generation model that has been fine-tuned on the CoEdIT dataset. It is based on the google/flan-t5-large model and is specifically designed for text editing tasks. Given an edit instruction and an original text, the model can generate the edited version of the text. It can be useful for various text revision tasks. The model's code and usage instructions can be found in the repository provided.
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6.3K
Huggingface
coedit-xxl
coedit-xxl
Model Card for CoEdIT-xxl This model was obtained by fine-tuning the corresponding google/flan-t5-xxl model on the CoEdIT dataset. Paper: CoEdIT: ext Editing by Task-Specific Instruction Tuning Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang Model Details Model Description Language(s) (NLP): English Finetuned from model: google/flan-t5-xxl Model Sources Repository: https://github.com/vipulraheja/coedit Paper: https://arxiv.org/abs/2305.09857 How to use We make available the models presented in our paper. Uses Text Revision Task Given an edit instruction and an original text, our model can generate the edited version of the text. Usage https://github.com/vipulraheja/coedit Citation BibTeX: APA: Raheja, V., Kumar, D., Koo, R., & Kang, D. (2023). CoEdIT: Text Editing by Task-Specific Instruction Tuning. ArXiv. /abs/2305.09857
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1.0K
Huggingface
coedit-xl-composite
coedit-xl-composite
Model Card for CoEdIT-xl-composite This model was obtained by fine-tuning the corresponding google/flan-t5-xl model on the CoEdIT-Composite dataset. Details of the dataset can be found in our paper and repository. Paper: CoEdIT: Text Editing by Task-Specific Instruction Tuning Authors: Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang Model Details Model Description Language(s) (NLP): English Finetuned from model: google/flan-t5-xl Model Sources Repository: https://github.com/vipulraheja/coedit Paper: https://arxiv.org/abs/2305.09857 How to use We make available the models presented in our paper. Uses Text Revision Task Given an edit instruction and an original text, our model can generate the edited version of the text. This model can also perform edits on composite instructions, as shown below: Usage https://github.com/vipulraheja/coedit Citation BibTeX: APA: Raheja, V., Kumar, D., Koo, R., & Kang, D. (2023). CoEdIT: Text Editing by Task-Specific Instruction Tuning. ArXiv. /abs/2305.09857
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181
Huggingface
detexd-roberta-base
detexd-roberta-base
DeTexD-RoBERTa-base delicate text detection This is a baseline RoBERTa-base model for the delicate text detection task. Paper: DeTexD: A Benchmark Dataset for Delicate Text Detection GitHub repository The labels meaning according to the paper: LABEL_0 -> non-delicate (0) LABEL_1 -> very low risk (1) LABEL_2 -> low risk (2) LABEL_3 -> medium risk (3) LABEL_4 -> high risk (4) LABEL_5 -> very high risk (5) Classification example code Here's a short usage example with the torch library in a binary classification task: Expected output: Citation Information
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18
Huggingface