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Task Adapters

Pre-trained model:

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bert bart xlm-roberta distilbert gpt2 roberta mbart

Emo

In this dataset, given a textual dialogue i.e. an utterance along with two previous turns of context, the goal was to infer the underlying emotion of the utterance by choosing from four emotion classes - Happy, Sad, Angry and Others.
🤗  huggingface.co
AdapterHub/bert-base-uncased-pf-emo bert-base-uncased
huggingface.co Head: 

# Adapter `AdapterHub/bert-base-uncased-pf-emo` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...

AdapterHub/roberta-base-pf-emo roberta-base
huggingface.co Head: 

# Adapter `AdapterHub/roberta-base-pf-emo` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [emo](https://huggingface.co/datasets/emo/)...

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