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tidybert

Lifecycle: experimental R-CMD-check

tidybert implements BERT NLP models with a consistent interface for fitting and creating predictions. The models are fully compatible with the tidymodels framework.

Installation

You can install the development version of tidybert from GitHub with:

# install.packages("remotes")
remotes::install_github("macmillancontentscience/tidybert")

Code of Conduct

Please note that the tidybert project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Disclaimer

This is not an officially supported Macmillan Learning product.

Contact information

Questions or comments should be directed to Jon Harmon (jonthegeek@gmail.com) and Jonathan Bratt (jonathan.bratt@macmillan.com).

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