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--- |
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tags: |
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- roberta |
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- adapter-transformers |
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datasets: |
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- BigTMiami/citation_intent_dataset_condensed |
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--- |
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# Adapter `BigTMiami/m_cite_par_bn_v_4_pretrain_adapter` for roberta-base |
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An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset_condensed](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset_condensed/) dataset and includes a prediction head for masked lm. |
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This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library. |
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## Usage |
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First, install `adapters`: |
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``` |
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pip install -U adapters |
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``` |
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Now, the adapter can be loaded and activated like this: |
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```python |
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from adapters import AutoAdapterModel |
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model = AutoAdapterModel.from_pretrained("roberta-base") |
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adapter_name = model.load_adapter("BigTMiami/m_cite_par_bn_v_4_pretrain_adapter", source="hf", set_active=True) |
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``` |
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## Architecture & Training |
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<!-- Add some description here --> |
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## Evaluation results |
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<!-- Add some description here --> |
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## Citation |
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<!-- Add some description here --> |
