| --- |
| tags: |
| - roberta |
| - adapter-transformers |
| datasets: |
| - BigTMiami/amazon_MICRO_helpfulness_dataset |
| --- |
| |
| # Adapter `BigTMiami/micro_seq_bn_helpfulness_classification_adapter` for roberta-base |
| |
| An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a prediction head for classification. |
| |
| 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("roberta-base") |
| adapter_name = model.load_adapter("BigTMiami/micro_seq_bn_helpfulness_classification_adapter", source="hf", set_active=True) |
| ``` |
| |
| ## Architecture & Training |
| |
| <!-- Add some description here --> |
| |
| ## Evaluation results |
| |
| <!-- Add some description here --> |
| |
| ## Citation |
| |
| <!-- Add some description here --> |
