grafzahl
Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
Duct tape the 'quanteda' ecosystem (Benoit et al., 2018) <doi:10.21105/joss.00774> to modern Transformer-based text classification models (Wolf et al., 2020) <doi:10.18653/v1/2020.emnlp-demos.6>, 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' <https://huggingface.co/>. More information: <doi:10.5117/CCR2023.1.003.CHAN>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.12 |
rolling source/ R- | grafzahl_0.0.12.tar.gz |
857.1 KiB |
0.0.12 |
rolling linux/jammy R-4.5 | grafzahl_0.0.12.tar.gz |
1.1 MiB |
0.0.12 |
rolling linux/noble R-4.5 | grafzahl_0.0.12.tar.gz |
1.1 MiB |
0.0.12 |
latest source/ R- | grafzahl_0.0.12.tar.gz |
857.1 KiB |
0.0.12 |
latest linux/jammy R-4.5 | grafzahl_0.0.12.tar.gz |
1.1 MiB |
0.0.12 |
latest linux/noble R-4.5 | grafzahl_0.0.12.tar.gz |
1.1 MiB |
0.0.12 |
2026-04-23 source/ R- | grafzahl_0.0.12.tar.gz |
857.1 KiB |
0.0.12 |
2026-04-09 windows/windows R-4.5 | grafzahl_0.0.12.zip |
1.1 MiB |
0.0.11 |
2025-04-20 source/ R- | grafzahl_0.0.11.tar.gz |
856.2 KiB |