metadata
language:
- en
tags:
- formality
licenses:
- cc-by-nc-sa
Model Overview
This is the model presented in the paper "Detecting Text Formality: A Study of Text Classification Approaches".
The original model is DeBERTa (large). Then, it was fine-tuned on the English corpus for fomality classiication GYAFC. In our experiments, the model showed the best results within Transformer-based models for the task. More details, code and data can be found here.
How to use
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = 'deberta-large-formality-ranker'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
Citation
TBD
Licensing Information
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
