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udmurtNLP/zerpal-rubert-tiny2-pos-tagger
zerpal-rubert-tiny2-pos-tagger is a feature extraction model from udmurtNLP. Use it when you need embeddings to search or compare text. It is set up for transformers.
You can use this model directly with a pipeline for NER:
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From the Hugging Face model README
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-rubert-tiny2-pos-tagger", tokenizer="udmurtNLP/zerpal-rubert-tiny2-tokenizer", grouped_entities=True)
result = classifier(text)