Named Entity Recognition (NER) model for Galician

This is a NER model for Galician (ILG/RAG spelling) which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).

The model is based on BERT-base-gl-cased, which has been fine-tuned using custom splits of the SLI_NERC dataset. On the test split of this dataset (not used for training), the model obtained the following results (Precision/Recall/F-score): 87.69 / 89.7 / 88.68.

Downloads last month: 24

Inference Examples

Token Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.