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t5-efficient-mini-grammar-correction
visheratin/t5-efficient-mini-grammar-correction
t5-efficient-mini-grammar-correction is a machine learning model from visheratin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is a T5-Efficient-MINI model that was trained on a subset of C4200M dataset to solve the grammar correction task in English. To bring additional errors, random typos were introduced to the input sentences using t…
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Oct 15, 2022
- Updated
- Jan 24, 2023
- SHA
- 034fd427
Datasets
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Model card
From the Hugging Face model README
T5-Efficient-MINI for grammar correction
This is a T5-Efficient-MINI model that was trained on a subset of C4_200M dataset to solve the grammar correction task in English. To bring additional errors, random typos were introduced to the input sentences using the nlpaug library. Since the model was trained on only one task, there are no prefixes needed.
The model was trained as a part of the project during the Full Stack Deep Learning course. ONNX version of the model is deployed on the site and can be run directly in the browser.
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Oct 15, 2022
- Updated
- Jan 24, 2023