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--- |
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tags: |
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- adapter-transformers |
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- adapterhub:named-entity-recognition/multiconer |
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- roberta |
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datasets: |
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- multiconer |
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--- |
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# Adapter `asahi417/tner-roberta-large-multiconer-en-adapter` for roberta-large |
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An [adapter](https://adapterhub.ml) for the `roberta-large` model that was trained on the [named-entity-recognition/multiconer](https://adapterhub.ml/explore/named-entity-recognition/multiconer/) dataset and includes a prediction head for tagging. |
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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 AutoModelWithHeads |
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model = AutoModelWithHeads.from_pretrained("roberta-large") |
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adapter_name = model.load_adapter("asahi417/tner-roberta-large-multiconer-en-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 --> |
