Model Details of twitter-roberta-base-emoji-latest
cardiffnlp/twitter-roberta-base-emoji-latest
This is a RoBERTa-base model trained on 154M tweets until the end of December 2022 and finetuned for emoji classification (multiclass classification on 100 emojis) on the
TweetEmoji100
dataset of
SuperTweetEval
.
The original Twitter-based RoBERTa model can be found
here
.
Example
from transformers import pipeline
text= "I’m tired of being sick.. it’s been four days dawg"
pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-emoji-latest", return_all_scores=True))
predictions = pipe(text)[0]
predictions = sorted(predictions, key=lambda d: d['score'], reverse=True)
predictions[:5]
>> [{'label': '😒', 'score': 0.14303581416606903},
{'label': '😩', 'score': 0.07775110006332397},
{'label': '😤', 'score': 0.0710175409913063},
{'label': '😑', 'score': 0.06665993481874466},
{'label': '😫', 'score': 0.0662984848022461}]
@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}
}
Runs of cardiffnlp twitter-roberta-base-emoji-latest on huggingface.co
167
Total runs
0
24-hour runs
0
3-day runs
97
7-day runs
139
30-day runs
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