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visheratin/t5-efficient-tiny-grammar-correction
t5-efficient-tiny-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-TINY 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…
Downloads · 30 days
521
9% of all-time downloads
All-time downloads
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.onnx241 MB · 79%
From the Hugging Face model README
This is a T5-Efficient-TINY 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.