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huggingfaceR: Access 'Hugging Face' Models and Datasets

Access models and datasets hosted on the 'Hugging Face' Hub through its Inference Application Programming Interface (API). Run text classification, embeddings, chat, translation, image, audio, and other tasks from tidy 'R' workflows without installing 'Python' by default. Results are returned as data frames or simple 'R' objects so they can be composed with 'dplyr', 'tidyr', and related tooling. Helpers also support Hub search, file download, provider discovery, and guarded uploads for authenticated workflows.

Version: 2.1.0
Depends: R (≥ 4.1.0)
Imports: cli, dplyr, glue, httr2 (≥ 1.0.0), jsonlite, magrittr, purrr, rlang, stringr, tibble, tidyr
Suggests: arrow, generics, knitr, lsa, recipes, reticulate, rmarkdown, testthat (≥ 3.0.0), tidymodels, tidytext, uwot
Published: 2026-06-30
DOI: 10.32614/CRAN.package.huggingfaceR
Author: Alex Farach [aut, cre, cph], Sam Terfa [aut, cph], Jack Penzer [aut, cph]
Maintainer: Alex Farach <alexfarach at gmail.com>
BugReports: https://github.com/farach/huggingfaceR/issues
License: MIT + file LICENSE
URL: https://farach.github.io/huggingfaceR/, https://github.com/farach/huggingfaceR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: huggingfaceR results

Documentation:

Reference manual: huggingfaceR.html , huggingfaceR.pdf

Downloads:

Package source: huggingfaceR_2.1.0.tar.gz
Windows binaries: r-devel: huggingfaceR_2.1.0.zip, r-release: huggingfaceR_2.1.0.zip, r-oldrel: huggingfaceR_2.1.0.zip
macOS binaries: r-release (arm64): huggingfaceR_2.1.0.tgz, r-oldrel (arm64): huggingfaceR_2.1.0.tgz, r-release (x86_64): huggingfaceR_2.1.0.tgz, r-oldrel (x86_64): huggingfaceR_2.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=huggingfaceR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.