Example data | Starting a session | Labeling and iterating | Visualizing progress | Query strategies | Diversity-aware batches | LoRA fine-tuning | Saving the model | Tips
Package: conflibertR 0.5.3
Shreyas Meher
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.
Authors:
conflibertR_0.5.3.tar.gz
conflibertR_0.5.3.tar.gz(r-4.7-any)conflibertR_0.5.3.tar.gz(r-4.6-any)
conflibertR_0.5.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
conflibertR/json (API)
| # Install 'conflibertR' in R: |
| install.packages('conflibertR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shreyasmeher/conflibertr/issues
Last updated from:d595503529. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 152 | ||
| source / vignettes | OK | 310 | ||
| linux-release-x86_64 | OK | 144 | ||
| wasm-release | OK | 121 |
Exports:conflibert_active_labelconflibert_active_nextconflibert_active_saveconflibert_active_startconflibert_availableconflibert_benchmarkconflibert_classifyconflibert_compareconflibert_exampleconflibert_finetuneconflibert_installconflibert_loadconflibert_modelsconflibert_multilabelconflibert_nerconflibert_qaconflibert_statustheme_conflibert
Dependencies:cliglueherejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngrappdirsRcppRcppTOMLreticulaterlangrprojroottibbleutf8vctrswithr
Active Learning with conflibertR
Last update: 2026-07-10
Started: 2026-07-10
Getting Started with conflibertR
Setup | Named Entity Recognition | Binary Classification | Multilabel Event Classification | Question Answering | Benchmarking the Pretrained Classifier | Fine-Tuning a Custom Classifier | Comparing Multiple Models | Multiclass Fine-Tuning | Summary
Last update: 2026-07-10
Started: 2026-07-10
