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gpt2_nli_multinli_pfeiffer – AI Model by AdapterHub | AlphaNeural AI

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AdapterHub/
gpt2_nli_multinli_pfeiffer

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adapter-transformers

text-classification

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Adapter `gpt2_nli_multinli_pfeiffer` for gpt2

Adapter for gpt2 in Pfeiffer architecture trained on the MNLI 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:

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("gpt2")
adapter_name = model.load_adapter("AdapterHub/gpt2_nli_multinli_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

Adapter architecture: pfeiffer
Prediction head: classification
Dataset: MultiNLI

Author Information

Author name(s): Hannah Sterz
Author email: hannah.sterz@stud.tu-darmstadt.de
Author links: Twitter

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/gpt2_nli_multinli_pfeiffer.yaml.