Instructions to use ilhami/t5Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ilhami/t5Adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("t5-small") model.load_adapter("ilhami/t5Adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- t5
- adapter-transformers
- adapterhub:sum/xsum
Adapter ilhami/my-awesome-adapter for t5-small
An adapter for the t5-small model that was trained on the sum/xsum 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-small")
adapter_name = model.load_adapter("ilhami/my-awesome-adapter", source="hf", set_active=True)