R: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'

# Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'

## Documentation for package ‘grafzahl’ version 0.0.12

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

detect_conda | Detecting Miniconda And Cuda
detect_cuda | Detecting Miniconda And Cuda
ecosent | A Corpus Of Dutch News Headlines
get_amharic_data | Download The Amharic News Text Classification Dataset
grafzahl | Fine tune a pretrained Transformer model for texts
grafzahl.character | Fine tune a pretrained Transformer model for texts
grafzahl.corpus | Fine tune a pretrained Transformer model for texts
grafzahl.default | Fine tune a pretrained Transformer model for texts
hydrate | Create a grafzahl S3 object from the output_dir
predict.grafzahl | Prediction from a fine-tuned grafzahl object
setup_grafzahl | Setup grafzahl
supported_model_types | Supported model types
textmodel_transformer | Fine tune a pretrained Transformer model for texts
unciviltweets | A Corpus Of Tweets With Incivility Labels
use_nonconda | Set up grafzahl to be used on Google Colab or similar environments