| tags: | |
| - bert | |
| - adapter-transformers | |
| - adapterhub:ner/conll2003 | |
| datasets: | |
| - conll2003 | |
| license: "apache-2.0" | |
| # Adapter `bert-base-uncased-ner-pfeiffer` for bert-base-uncased | |
| Adapter trained on the CoNLL2003 dataset for named entity recognition | |
| **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("bert-base-uncased") | |
| adapter_name = model.load_adapter("AdapterHub/bert-base-uncased-ner-pfeiffer") | |
| model.set_active_adapters(adapter_name) | |
| ``` | |
| ## Architecture & Training | |
| - Adapter architecture: pfeiffer | |
| - Prediction head: None | |
| - Dataset: [conll2003](https://huggingface.co/datasets/conll2003) | |
| ## Author Information | |
| - Author name(s): Hannah Sterz | |
| - Author email: sterz@ukp.informatik.tu-darmstadt.de | |
| - Author links: [Twitter](https://twitter.com/@Hannah70676760) | |
| ## Citation | |
| ```bibtex | |
| ``` | |
| *This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-uncased-ner-pfeiffer.yml*. |