Instructions to use MLRS/BERTu-ner-allennlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use MLRS/BERTu-ner-allennlp with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://MLRS/BERTu-ner-allennlp") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - mt | |
| datasets: | |
| - wikiann | |
| tags: | |
| - named-entity-recognition | |
| - token-classification | |
| - allennlp | |
| license: cc-by-nc-sa-4.0 | |
| # BERTu fine-tuned for Named-Entity Recognition | |
| This is a fine-tuned version of [BERTu](https://huggingface.co/MLRS/BERTu) on Named-Entity Recognition. | |
| To make use of this model, customised modules are needed; refer to the [codebase](https://github.com/MLRS/BERTu/tree/main/evaluate) for more details. | |
| ## License | |
| Refer to the [base model licensing information](https://huggingface.co/MLRS/BERTu#license). | |
| ## Citation | |
| Refer to the [base model citation information](https://huggingface.co/MLRS/BERTu#citation). |