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Zerpal-original-mBERT-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-original-mbert-pos-tagger", tokenizer="google-bert/bert-base-multilingual-cased", grouped_entities=True)
result = classifier(text)
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Model size
178M params
Tensor type
F32
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