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EvanD/
xlm-roberta-base-ukrainian-ner-ukrner

Name: xlm-roberta-base-ukrainian-ner-ukrner
Rating: 2.5 (257 reviews)

named-entity-recognition

sequence-tagger-model

autotrain_compatible

endpoints_compatible

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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

python

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)