This is a RoBERTa-based model fine-tuned to rank or classify the formality of English text. It is hosted on Hugging Face and can be used for text-classification tasks via the Inference API or locally with the transformers library.
Roberta Base Formality Ranker sits in PulseGate's Other AI category. Automatically determining the formality level of written text. It is built as an open-source project for developers. Roberta Base Formality Ranker is open source under the Open Source license. Roberta Base Formality Ranker is available on the web and API.
Behind Roberta Base Formality Ranker is s-nlp, and the product first shipped in 2018. Development happens publicly on GitHub with 108 stars. Key capabilities include text classification, formality detection, and roBERTa backbone.
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s-nlp/roberta-base-formality-ranker verified by the PulseGate indexer
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