| tags: | |
| - t5 | |
| - adapter-transformers | |
| datasets: | |
| - snli | |
| # Adapter `varun-v-rao/t5-large-bn-adapter-6.34M-snli-model2` for t5-large | |
| An [adapter](https://adapterhub.ml) for the `t5-large` model that was trained on the [snli](https://huggingface.co/datasets/snli/) dataset. | |
| 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-large") | |
| adapter_name = model.load_adapter("varun-v-rao/t5-large-bn-adapter-6.34M-snli-model2", source="hf", set_active=True) | |
| ``` | |
| ## Architecture & Training | |
| <!-- Add some description here --> | |
| ## Evaluation results | |
| <!-- Add some description here --> | |
| ## Citation | |
| <!-- Add some description here --> |