Merge branch 'main' of https://huggingface.co/maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1 into main

README.md

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+# 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](https://competitions.codalab.org/competitions/17751) (also available on the [Hugging Face Dataset Hub](https://huggingface.co/datasets/sem_eval_2018_task_1)).
+
+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](https://huggingface.co/cardiffnlp/twitter-roberta-base-jun2022).
+
+To quickly test it locally, use a pipeline:
+
+```python
+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!",return_all_scores=True,function_to_apply="sigmoid")
+```