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Task Adapters

Pre-trained model:

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

SICK

The SICK relatedness (SICK-R) task trains a linear model to output a score from 1 to 5 indicating the relatedness of two sentences. For the same dataset (SICK-E) can be treated as a three-class classification problem using the entailment labels (classes are ‘entailment’, ‘contradiction’, and ‘neutral’).
  Website 🤗  huggingface.co
nli/sick@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on SICK.

nli/sick@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on SICK.

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

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

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

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

Paper | Imprint & Privacy

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