Package: tidybert 0.0.0.9900

tidybert: Tidy BERT-like Models

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

Authors:Jonathan Bratt [aut], Jon Harmon [aut, cre], Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]

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tidybert.pdf |tidybert.html✨
tidybert/json (API)

# Install 'tidybert' in R:

install.packages('tidybert', repos = c('https://jonthegeek.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/macmillancontentscience/tidybert/issues

On CRAN:

3.02 score 21 stars 4 scripts 8 exports 50 dependencies

Last updated 1 years agofrom:e25e191224. Checks:ERROR: 7. Indexed: no.

Target	Result	Date
Doc / Vignettes	FAIL	Nov 20 2024
R-4.5-win	ERROR	Nov 20 2024
R-4.5-linux	ERROR	Nov 20 2024
R-4.4-win	ERROR	Nov 20 2024
R-4.4-mac	ERROR	Nov 20 2024
R-4.3-win	ERROR	Nov 20 2024
R-4.3-mac	ERROR	Nov 20 2024

Exports:%>%bert bert_classification bert_regression bert_type model_bert_linear n_tokens tidy_bert_output

Dependencies:bit bit64 cachem callr cli coro crayon desc digest dlr dplyr ellipsis fansi fastmap fastmatch fs generics glue hardhat hms jsonlite lifecycle luz magrittr memoise piecemaker pillar pkgconfig prettyunits processx progress ps purrr R6 rappdirs Rcpp rlang safetensors stringi stringr tibble tidyselect torch torchtransformers utf8 vctrs withr wordpiece wordpiece.data zeallot

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fine-Tune a BERT Model	bert
Fit a BERT-style neural network	bert_classification bert_classification.data.frame bert_classification.default bert_classification.formula bert_classification.matrix
Fit a BERT-style neural network	bert_regression bert_regression.data.frame bert_regression.default bert_regression.formula bert_regression.matrix
Pre-Trained BERT Model	bert_type
Pretrained BERT Model with Linear Output	model_bert_linear
Number of Tokens	n_tokens
Predict from a 'bert_classification' model.	predict.bert_classification
Predict from a 'bert_regression' model.	predict.bert_regression
Tidy the BERT Output	tidy_bert_output