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--- |
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tags: |
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- bert |
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- adapter-transformers |
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- adapterhub:sentiment/amazon |
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datasets: |
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- amazon |
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--- |
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# Adapter `domadapter/joint_dt_books_apparel` for bert-base-uncased |
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An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [sentiment/amazon](https://adapterhub.ml/explore/sentiment/amazon/) 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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``` |
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pip install -U adapter-transformers |
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``` |
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_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 |
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from transformers import AutoAdapterModel |
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model = AutoAdapterModel.from_pretrained("bert-base-uncased") |
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adapter_name = model.load_adapter("domadapter/joint_dt_books_apparel", 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 --> |
