Instructions to use Zichuu/spert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zichuu/spert with Transformers:
# Load model directly from transformers import AutoTokenizer, SpERT tokenizer = AutoTokenizer.from_pretrained("Zichuu/spert") model = SpERT.from_pretrained("Zichuu/spert") - Notebooks
- Google Colab
- Kaggle
| # SpERT | |
| SpERT is the Relation Extraction model [(SpERT)Span-based Entity and Relation Transformer](https://github.com/lavis-nlp/spert).This is the model trained with CoNLL04 Dataset. | |
| ## Use | |
| ## References | |
| ``` | |
| Markus Eberts, Adrian Ulges. Span-based Joint Entity and Relation Extraction with Transformer Pre-training. 24th European Conference on Artificial Intelligence, 2020. | |
| ``` |