Instructions to use GateNLP/covid-vaccine-twitter-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GateNLP/covid-vaccine-twitter-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GateNLP/covid-vaccine-twitter-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GateNLP/covid-vaccine-twitter-bert") model = AutoModelForMaskedLM.from_pretrained("GateNLP/covid-vaccine-twitter-bert") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter
Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Accepted @ICWSM 2023
@inproceedings{mu2023vaxxhesitancy,
title={VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter},
author={Mu, Yida and Jin, Mali and Grimshaw, Charlie and Scarton, Carolina and Bontcheva, Kalina and Song, Xingyi},
booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
volume={17},
pages={1052--1062},
year={2023}
}
license: mit
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