flaiR is an R package for accessing the flairNLP/flair Python library, maintained by Yen-ChiehLiao (University of Birmingham) and Stefan Müller from Next Generation Energy Systems and Text and Policy Research Group in UCD. flaiR provides convenient access to the main functionalities of flairNLP for training word embedding-based deep learning models and fine-tune state-of-the-art transformers hosted on Hugging Face. Our team trains and fine-tunes the models with Flair in our projects.
install.packages("remotes")
remotes::install_github("davidycliao/flaiR", force = TRUE)library(flaiR)flaiR runs the Flair NLP backend in Python, thus requiring Python
installation. We have extensively tested flaiR using CI/CD with GitHub
Actions, conducting integration tests across various operating systems.
These tests includes integration between R versions 4.2.1, 4.3.2,
and 4.2.0, along with Python 3.9 and 3.10.x. Additionally, the testing
includes environments with PyTorch, Flair NLP, and their dependencies in
both R and Python. For stable usage, we strongly recommend installing
these specific versions.
| OS | R Versions | Python Version |
|---|---|---|
| Mac | 4.3.2, 4.2.0, |
3.10.x |
| Mac | Latest | 3.9 |
| Windows | 4.0.5 | 3.10.x |
| Windows | Latest | 3.9 |
| Ubuntu | 4.3.2, 4.2.0, 4.2.1 | 3.10.x |
| Ubuntu | Latest | 3.9 |
*: On R 4.2.1, especially on Mac M1/M2, compatibility issues with
gfortran may occur.
R developers who want to contribute to flaiR are welcome – flaiR is an
open source project. We warmly invite R users who share similar
interests to join in contributing to this package. Please feel free to
shoot me an email us to collaborate on the task. Contributions – whether
they be comments, code suggestions, tutorial examples, or forking the
repository – are greatly appreciated. Please note that the flaiR is
released with the Contributor Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
The primary communication channel for R users can be found here. Please feel free to share your insights on the Discussion page and report any issues related to the R interface in the Issue section. If the issue pertains to the actual implementation of Flair in Python, please submit a pull request to the offical flair NLP.