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uk_ner_web_trf_large
dchaplinsky/uk_ner_web_trf_large
uk_ner_web_trf_large is a token classification model from dchaplinsky. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
uknerwebtrflarge is a fine-tuned XLM-Roberta model that is ready to use for Named Entity Recognition and achieves a SoA performance for the NER task for Ukrainian language. It outperforms another SpaCy model, ukcorene…
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Oct 31, 2022
- Updated
- Nov 6, 2022
- SHA
- 2892a93f
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Model card
From the Hugging Face model README
uk_ner_web_trf_large
Model description
uk_ner_web_trf_large is a fine-tuned XLM-Roberta model that is ready to use for Named Entity Recognition and achieves a SoA performance for the NER task for Ukrainian language. It outperforms another SpaCy model, uk_core_news_trf on a NER task.
It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC).
The model was fine-tuned on the NER-UK dataset, released by the lang-uk. Smaller transformer based model for the SpaCy is available here.
Copyright: Dmytro Chaplynskyi, lang-uk project, 2022
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- uk
- Created
- Oct 31, 2022
- Updated
- Nov 6, 2022