Supervised Machine Learning for Textual Data Using Transformers
and 'Quanteda'
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘grafzahl’ version 0.0.12
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 |