---
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*.