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coedit-xl

Text2Text Generation
Transformers
PyTorch
Safetensors
English
t5
text-generation-inference
Inference Endpoints
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metadata
license: apache-2.0
datasets:
  - asset
  - wi_locness
  - GEM/wiki_auto_asset_turk
  - discofuse
  - zaemyung/IteraTeR_plus
language:
  - en
metrics:
  - sari
  - bleu
  - accuracy

Model Card for CoEdIT-XL

This model was obtained by fine-tuning google/flan-t5-xl 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-xl

Model Sources [optional]

How to use

We make available the models presented in our paper.

Model Number of parameters
CoEdIT-large 770M
CoEdIT-xl 3B
CoEdIT-xxl 11B

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

Software

https://github.com/vipulraheja/coedit

Citation

BibTeX:

[More Information Needed]

APA:

[More Information Needed]