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xlm-roberta-base-ukrainian-ner-ukrner
EvanD/xlm-roberta-base-ukrainian-ner-ukrner
xlm-roberta-base-ukrainian-ner-ukrner is a token classification model from EvanD. Use it when you need labels on individual words, such as names. It is set up for transformers.
xlm-roberta model trained on ukrainian ner dataset from flair
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024
- SHA
- 91c05c92
Try a prompt
Model card
From the Hugging Face model README
xlm-roberta model trained on ukrainian ner dataset from flair
| Test metric | Results |
|---|---|
| test_f1_mac_ukr_ner | 0.9900672435760498 |
| test_loss_ukr_ner | 0.054602641612291336 |
| test_prec_mac_ukr_ner | 0.9386032819747925 |
| test_rec_mac_ukr_ner | 0.9383019208908081 |
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("EvanD/xlm-roberta-base-ukrainian-ner-ukrner")
ner_model = AutoModelForTokenClassification.from_pretrained("EvanD/xlm-roberta-base-ukrainian-ner-ukrner")
nlp = pipeline("ner", model=ner_model, tokenizer=tokenizer, aggregation_strategy="simple")
example = "Мене звуть Амадей Вольфганг, я живу в Берліні"
ner_results = nlp(example)
print(ner_results)
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- uk
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024