Zerpal
Collection
The largest open-source Udmurt monolingual corpora and pre-trained language models • 14 items • Updated
• 1
You can use this model directly with a pipeline for NER:
from transformers import pipeline
text = "Яратон, яратон, мар меда сыӵе тон?"
classifier = pipeline("ner", model="udmurtNLP/zerpal-glot500-pos-tagger", tokenizer="cis-lmu/glot500-base", grouped_entities=True)
result = classifier(text)