Edit model card

uk_ner_web_trf_base

Model description

uk_ner_web_trf_base is a fine-tuned XLM-Roberta model that is ready to use for Named Entity Recognition and achieves a performance close to SoA for the NER task for Ukrainian language. 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. A bigger model, trained on xlm-roberta-large with the State-of-the-Art performance is available here.

Copyright: Dmytro Chaplynskyi, lang-uk project, 2022

Downloads last month
14
Inference Examples
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.

Evaluation results