Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
Detecting Miniconda And Cuda
Download The Amharic News Text Classification Dataset
Fine tune a pretrained Transformer model for texts
Create a grafzahl S3 object from the output_dir
Prediction from a fine-tuned grafzahl object
Setup grafzahl
Set up grafzahl to be used on Google Colab or similar environments
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>.
Useful links