metadata
language:
- en
license: mit
datasets:
- cardiffnlp/super_tweeteval
cardiffnlp/twitter-roberta-base-intimacy-latest
This is a RoBERTa-base model trained on 154M tweets until the end of December 2022 and finetuned for intimacy analysis (regression on a single text) on the TweetIntimacy dataset of SuperTweetEval. The original Twitter-based RoBERTa model can be found here.
Example
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "cardiffnlp/twitter-roberta-base-intimacy-latest"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
text= '@user Furthermore, harassment is ILLEGAL in any form!'
model(**tokenizer(text, return_tensors="pt")).logits
>> tensor([1.6744])
Citation Information
Please cite the reference paper if you use this model.
@inproceedings{antypas2023supertweeteval,
title={SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research},
author={Dimosthenis Antypas and Asahi Ushio and Francesco Barbieri and Leonardo Neves and Kiamehr Rezaee and Luis Espinosa-Anke and Jiaxin Pei and Jose Camacho-Collados},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
year={2023}
}