README.md

Twitter-roBERTa-base-jun2022_sem_eval_2018_task1

This model was trained on ~7000 tweets in English annotated for 11 emotion categories in SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification (also available on the Hugging Face Dataset Hub).

The underlying model is a RoBERTa-base model trained on 132.26M tweets until the end of June 2022. Fore more details check out the model page.

To quickly test it locally, use a pipeline:

from transformers import pipeline

pipe = pipeline("text-classification",model="maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1")

pipe("I couldn't see any seafood for a year after I went to that restaurant that they send all the tourists to!",top_k=11)