conflibertR: Inference and Fine-Tuning with 'ConfliBERT' Conflict Text Models

An interface to 'ConfliBERT', a pretrained language model for analyzing text about conflict and political violence (Hu et al. (2022) <doi:10.18653/v1/2022.naacl-main.400>). Provides functions for named entity recognition, binary and multilabel classification, and question answering, plus tools to fine-tune custom classifiers, compare several base model architectures, and run an interactive active-learning loop for efficiently labeling new data. Models are downloaded from 'Hugging Face' and run through the 'transformers' library for 'Python' via the 'reticulate' package.

Version:	0.5.3
Imports:	cli, reticulate (≥ 1.34), tibble
Suggests:	ggplot2, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat (≥ 3.0.0)
Published:	2026-07-10
DOI:	10.32614/CRAN.package.conflibertR
Author:	Shreyas Meher [aut, cre]
Maintainer:	Shreyas Meher <shreyasmeher at gmail.com>
BugReports:	https://github.com/shreyasmeher/conflibertR/issues
License:	MIT + file LICENSE
URL:	https://github.com/shreyasmeher/conflibertR
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.8); the Python modules 'torch', 'transformers' (>= 4.40), 'accelerate', 'peft', 'scikit-learn' and 'numpy', installable via conflibert_install()
Language:	en
Citation:	conflibertR citation info
Materials:	README, NEWS
CRAN checks:	conflibertR results

Documentation:

Reference manual:	conflibertR.html , conflibertR.pdf
Vignettes:	Active Learning with conflibertR (source, R code) Getting Started with conflibertR (source, R code)

Downloads:

Package source:	conflibertR_0.5.3.tar.gz
Windows binaries:	r-devel: conflibertR_0.5.3.zip, r-release: conflibertR_0.5.3.zip, r-oldrel: conflibertR_0.5.3.zip
macOS binaries:	r-release (arm64): conflibertR_0.5.3.tgz, r-oldrel (arm64): conflibertR_0.5.3.tgz, r-release (x86_64): conflibertR_0.5.3.tgz, r-oldrel (x86_64): conflibertR_0.5.3.tgz

Linking:

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