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
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Check out the documentation for more information.
SpERT
SpERT is the Relation Extraction model (SpERT)Span-based Entity and Relation Transformer.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.
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