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grafzahl  

Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
View on CRAN: Click here


Download and install grafzahl package within the R console
Install from CRAN:
install.packages("grafzahl")

Install from Github:
library("remotes")
install_github("cran/grafzahl")

Install by package version:
library("remotes")
install_version("grafzahl", "0.0.12")



Attach the package and use:
library("grafzahl")
Maintained by
Chung-hong Chan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-20
Latest Update: 2025-06-18
Description:
Duct tape the 'quanteda' ecosystem (Benoit et al., 2018) to modern Transformer-based text classification models (Wolf et al., 2020) , in order to facilitate supervised machine learning for textual data. This package mimics the behaviors of 'quanteda.textmodels' and provides a function to setup the 'Python' environment to use the pretrained models from 'Hugging Face' . More information: .
How to cite:
Chung-hong Chan (2023). grafzahl: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'. R package version 0.0.12, https://cran.r-project.org/web/packages/grafzahl. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:45), 0.0.5 (2023-01-20 11:30), 0.0.8 (2023-04-12 11:00), 0.0.11 (2024-03-26 11:20)
Other packages that cited grafzahl R package
View grafzahl citation profile
Other R packages that grafzahl depends, imports, suggests or enhances
Complete documentation for grafzahl
Functions, R codes and Examples using the grafzahl R package
Some associated functions: detect_cuda . ecosent . get_amharic_data . grafzahl . hydrate . predict.grafzahl . setup_grafzahl . unciviltweets . 
Some associated R codes: lime.R . misc.R . setup.R . train.R .  Full grafzahl package functions and examples
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