Adapter selimyagci/l_qa_t5 for google-t5/t5-base

An adapter for the google-t5/t5-base model that was trained on the None dataset and includes a prediction head for seq2seq lm.

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("google-t5/t5-base")
adapter_name = model.load_adapter("selimyagci/l_qa_t5", set_active=True)

Architecture & Training

Evaluation results

Citation