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AdapterHub/bert-base-uncased-siqa_pfeiffer

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Adapter bert-base-uncased-siqa_pfeiffer for bert-base-uncased

Pfeiffer Adapter trained on Social IQA.

This adapter was created for usage with the [Adapters](https://github.com/Adapter-Hub/adapters) library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

python
from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("AdapterHub/bert-base-uncased-siqa_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

  • —Adapter architecture: pfeiffer
  • —Prediction head: None
  • —Dataset: Social IQA

Author Information

  • —Author name(s): Jonas Pfeiffer
  • —Author email: jonas@pfeiffer.ai
  • —Author links: Website, GitHub, Twitter

Citation

bibtex
@article{Pfeiffer2020AdapterFusion,
author = {Pfeiffer, Jonas and Kamath, Aishwarya and R{\"{u}}ckl{\'{e}}, Andreas and Cho, Kyunghyun and Gurevych, Iryna},
journal = {arXiv preprint},
title = {{AdapterFusion}:  Non-Destructive Task Composition for Transfer Learning},
 url       = {https://arxiv.org/pdf/2005.00247.pdf},
year = {2020}
}

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-uncased-siqa_pfeiffer.yaml.