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bert-base-gl-SLI-NER
marcosgg/bert-base-gl-SLI-NER
bert-base-gl-SLI-NER is a token classification model from marcosgg. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as agpl-3.0.
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).
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- bert
- Access
- Public
- Created
- Nov 22, 2022
- Updated
- Feb 9, 2023
- SHA
- d5a1e3d0
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Model card
From the Hugging Face model README
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.
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- agpl-3.0
- Languages
- gl, pt
- Created
- Nov 22, 2022
- Updated
- Feb 9, 2023