Inference and Fine-Tuning with 'ConfliBERT' Conflict Text Models R package conflibertR version 0.5.3 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. Software Imports: cli, reticulate (>= 1.34), tibble Suggests: ggplot2, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat (>= 3.0.0) Shreyas Meher <shreyasmeher@gmail.com> Comprehensive R Archive Network (CRAN) Shreyas Meher [aut, cre] (ORCID: <https://orcid.org/0000-0002-9656-4374>) MIT + file LICENSE (https://CRAN.R-project.org/package=conflibertR/LICENSE) 2026-07-10 application/tgz https://CRAN.R-project.org/package=conflibertR doi:10.32614/CRAN.package.conflibertR en