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uzbek-ner
dashakoryakovskaya/uzbek-ner
uzbek-ner is a token classification model from dashakoryakovskaya. Use it when you need labels on individual words, such as names. It is set up for transformers.
Модель для распознавания сущностей в узбекских текстах.
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2.3 GB on disk
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Repo makeup
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- 52efb365
Base models
Model card
From the Hugging Face model README
Uzbek NER XLM-RoBERTa
Модель для распознавания сущностей в узбекских текстах.
Classes
- ORG
- NAME
- GEO
Label scheme
BIO: B-ORG, I-ORG, B-NAME, I-NAME, B-GEO, I-GEO, O.
Base model
FacebookAI/xlm-roberta-large
Input processing
Documents are split into overlapping windows:
- max length: 512
- stride: 128
Predictions from overlapping windows are aggregated by character offsets.
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- uz, ru
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026