tidybert implements BERT NLP models with a consistent interface for fitting and creating predictions. The models are fully compatible with the tidymodels framework.
You can install the development version of tidybert from GitHub with:
# install.packages("remotes")
remotes::install_github("macmillancontentscience/tidybert")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.
This is not an officially supported Macmillan Learning product.
Questions or comments should be directed to Jon Harmon ([email protected]) and Jonathan Bratt ([email protected]).