Instructions to use bilal521/t5-edu-summary-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use bilal521/t5-edu-summary-adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("t5-base") model.load_adapter("bilal521/t5-edu-summary-adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Adapter bilal521/t5-edu-summary-adapter for t5-base
An adapter for the 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("t5-base")
adapter_name = model.load_adapter("bilal521/t5-edu-summary-adapter", set_active=True)
Architecture & Training
Evaluation results
Citation
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