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
| tags: | |
| - t5 | |
| - adapter-transformers | |
| - adapterhub:sum/xsum | |
| # Adapter `ilhami/my-awesome-adapter` for t5-small | |
| An [adapter](https://adapterhub.ml) for the `t5-small` model that was trained on the [sum/xsum](https://adapterhub.ml/explore/sum/xsum/) dataset and includes a prediction head for seq2seq lm. | |
| This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/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("t5-small") | |
| adapter_name = model.load_adapter("ilhami/my-awesome-adapter", source="hf", set_active=True) | |
| ``` | |
| ## Architecture & Training | |
| <!-- Add some description here --> | |
| ## Evaluation results | |
| <!-- Add some description here --> | |
| ## Citation | |
| <!-- Add some description here --> |