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Model description

“Auto_Spelling_Checker” by Himanshu Kumar is a Python project focused on creating a spelling corrector. The repository includes a notebook detailing the preprocessing steps for natural language processing (NLP), specifically tokenization.

Language

It is designed to work with the English language.

Metrics

The model is evaluated based on the Character Error Rate (CER) metric.

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Model size
248M params
Tensor type
F32
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