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gpt2_lingaccept_cola_pfeiffer
AdapterHub/gpt2_lingaccept_cola_pfeiffer
gpt2_lingaccept_cola_pfeiffer is a text classification model from AdapterHub. Use it when you need a label for a piece of text. It is set up for adapter-transformers. The card lists the license as apache-2.0.
Adapter for gpt2 in Pfeiffer architecture trained on the COLA dataset for 10 epochs with a learning rate of 1e-4.
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At a glance
- Task
- Text Classification
- Library
- adapter-transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- ece95bf9
Try a prompt
Model card
From the Hugging Face model README
Adapter gpt2_lingaccept_cola_pfeiffer for gpt2
Adapter for gpt2 in Pfeiffer architecture trained on the COLA dataset for 10 epochs with 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("gpt2")
adapter_name = model.load_adapter("AdapterHub/gpt2_lingaccept_cola_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: classification
- Dataset: CoLA
Author Information
- Author name(s): Hannah Sterz
- Author email: [email protected]
- Author links: Twitter
Citation
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/gpt2_lingaccept_cola_pfeiffer.yaml.
- Task
- Text Classification
- Library
- adapter-transformers
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 5, 2024