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Task Adapters

Pre-trained model:

All architectures
All architectures
bert bart xlm-roberta distilbert gpt2 roberta mbart

Cosmos QA

Cosmos QA is a large-scale dataset of 35,600 problems that require commonsense-based reading comprehension, formulated as multiple-choice questions.
  Website 🤗  huggingface.co
comsense/cosmosqa@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on Cosmos QA.

comsense/cosmosqa@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on Cosmos QA.

AdapterHub/bert-base-uncased-pf-cosmos_qa bert-base-uncased
huggingface.co Head: 

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

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

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

Paper | Imprint & Privacy

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