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 library.
Usage
First, install adapters
:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
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
Author Information
- Author name(s): Hannah Sterz
- Author email: sterz@ukp.informatik.tu-darmstadt.de
- Author links: Twitter
Citation
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-uncased-ner-pfeiffer.yml.
- Downloads last month
- 2