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bert-base-uncased_sts_stackexchange_pfeiffer
AdapterHub/bert-base-uncased_sts_stackexchange_pfeiffer
bert-base-uncased_sts_stackexchange_pfeiffer is a machine learning model from AdapterHub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers. The card lists the license as apache-2.0.
Our adapters from the MultiCQA paper (https://arxiv.org/abs/2010.00980) trained on the different StackExchange forums (see "version") with self-supervised training signals of unlabeled questions.
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At a glance
- Library
- adapter-transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- 62c5fc10
Model card
From the Hugging Face model README
Adapter bert-base-uncased_sts_stackexchange_pfeiffer for bert-base-uncased
Our adapters from the MultiCQA paper (https://arxiv.org/abs/2010.00980) trained on the different StackExchange forums (see "version") with self-supervised training signals of unlabeled questions.
This adapter was created for usage with the Adapters library.
Usage
First, install adapters:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("AdapterHub/bert-base-uncased_sts_stackexchange_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: StackExchange QA Similarity
Author Information
- Author name(s): Andreas Rücklé
- Author email: [email protected]
- Author links: Website, GitHub, Twitter
Versions
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Citation
@inproceedings{rueckle-etal-2020-multicqa,
title = "{MultiCQA}: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale",
author = {R{\"u}ckl{\'e}, Andreas and
Pfeiffer, Jonas and
Gurevych, Iryna},
booktitle = "Proceedings of The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020)",
year = "2020",
address = "Virtual Conference",
url = "https://arxiv.org/abs/2010.00980",
}
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-uncased_sts_stackexchange_pfeiffer.yaml.
- Library
- adapter-transformers
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 5, 2024