GLiNER-ID is an Indonesian Named Entity Recognition (NER) model based on GLiNER, fine-tuned from muchad/mdeberta-hybrid-30k. The model uses the 30k-token hybrid Indonesian–English vocabulary developed through VocabPrune and is designed for flexible, span-based NER in Indonesian text. The model is a fine-tuned NER checkpoint and can recognize user-defined entity types without requiring a fixed predefined label set. Load the model and define the entity types you want to extract: For the methodology, training data, experimental setup, and detailed evaluation results, please refer to the published paper. If you use GLiNER-ID in your research, please cite
Independent publisher
Muchad
muchad
Text processing
Models in Library1
Datasets in Library0
Models on Hugging Face23
Followers2
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Published tasks: Token classification.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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