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Zerpal-rubert-tiny2-pos-tagger

How to use

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)
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Model size
32.5M params
Tensor type
F32
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