Downloads · 30 days
12
46% of all-time downloads
facebook-bart-large_sum_xsum_pfeiffer
AdapterHub/facebook-bart-large_sum_xsum_pfeiffer
facebook-bart-large_sum_xsum_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.
Adapter for bart-large in Houlsby architecture trained on the XSum dataset for 10 epochs with early stopping and a learning rate of 1e-4.
All-time downloads
26
Public
Repo size
307 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin307 MB · 100%
At a glance
- Library
- adapter-transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- 1285b660
Datasets
Model card
From the Hugging Face model README
Adapter facebook-bart-large_sum_xsum_pfeiffer for facebook/bart-large
Adapter for bart-large in Houlsby architecture trained on the XSum dataset for 10 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:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("facebook/bart-large")
adapter_name = model.load_adapter("AdapterHub/facebook-bart-large_sum_xsum_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: seq2seq lm
- Dataset: XSum
Author Information
- Author name(s): Clifton Poth
- Author email: [email protected]
- 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-large_sum_xsum_pfeiffer.yaml.
- Library
- adapter-transformers
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 5, 2024