--- tags: - adapter-transformers - roberta datasets: - BigTMiami/amazon_helpfulness --- # Adapter `BigTMiami/dapt_tapt_unipelt_helpfulness_classification_adapter` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) 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/dapt_tapt_unipelt_helpfulness_classification_adapter", source="hf", set_active=True) ``` ## Architecture & Training ## Evaluation results ## Citation