| --- |
| tags: |
| - adapterhub:argument/quality |
| - roberta |
| - adapter-transformers |
| --- |
| |
| # Adapter `falkne/reflexivity` for roberta-base |
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| An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [argument/quality](https://adapterhub.ml/explore/argument/quality/) dataset and includes a prediction head for classification. |
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| This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library. |
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| ## Usage |
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| First, install `adapter-transformers`: |
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| ``` |
| pip install -U adapter-transformers |
| ``` |
| _Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_ |
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| Now, the adapter can be loaded and activated like this: |
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| ```python |
| from transformers import AutoAdapterModel |
| |
| model = AutoAdapterModel.from_pretrained("roberta-base") |
| adapter_name = model.load_adapter("falkne/reflexivity", source="hf", set_active=True) |
| ``` |
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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 --> |
