Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

facebook-bart-base_sts_sts-b_pfeiffer – AI Model by AdapterHub | AlphaNeural AI

You can deploy this model and start earning money today!

AdapterHub/
facebook-bart-base_sts_sts-b_pfeiffer

like

0

adapter-transformers

text-classification

Views

No views yet

Adapter `facebook-bart-base_sts_sts-b_pfeiffer` for facebook/bart-base

Adapter for bart-base in Pfeiffer architecture trained on the STS-B dataset for 15 epochs with early stopping and a learning rate of 1e-4.

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:

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("facebook/bart-base")
adapter_name = model.load_adapter("AdapterHub/facebook-bart-base_sts_sts-b_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

Adapter architecture: pfeiffer
Prediction head: classification
Dataset: STS-B

Author Information

Author name(s): Clifton Poth
Author email: calpt@mail.de
Author links: Website, GitHub, Twitter

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/facebook-bart-base_sts_sts-b_pfeiffer.yaml.