Model Specification

• This is the Republican community GPT-2 language model, fine-tuned on 4.7M (~100M tokens) tweets of Republican Twitter users between 2019-01-01 and 2020-04-10.
• For more details about the CommunityLM project, please refer to this our paper and github page.
• In the paper, it is referred as the Fine-tuned CommunityLM for the Republican Twitter community.

How to use the model

• PRE-PROCESSING: when you apply the model on tweets, please make sure that tweets are preprocessed by the TweetTokenizer to get the best performance.

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CommunityLM/republican-twitter-gpt2")

model = AutoModelForCausalLM.from_pretrained("CommunityLM/republican-twitter-gpt2")

References

If you use this repository in your research, please kindly cite our paper:

@inproceedings{jiang-etal-2022-communitylm,
    title = "CommunityLM: Probing Partisan Worldviews from Language Models",
     author = {Jiang, Hang and Beeferman, Doug and Roy, Brandon and Roy, Deb},
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    year = "2022",
    publisher = "International Committee on Computational Linguistics",
}