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bert-base-uncased-ner-pfeiffer
AdapterHub/bert-base-uncased-ner-pfeiffer
bert-base-uncased-ner-pfeiffer is a machine learning model from AdapterHub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers. The card lists the license as apache-2.0.
Adapter trained on the CoNLL2003 dataset for named entity recognition
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At a glance
- Library
- adapter-transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- 628285aa
Datasets
Model card
From the Hugging Face model README
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: [email protected]
- 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.
- Library
- adapter-transformers
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 5, 2024