Zerpal-original-Glot500-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-glot500-pos-tagger", tokenizer="cis-lmu/glot500-base", grouped_entities=True)
result = classifier(text)

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Safetensors

Model size

394M params

Tensor type

F32

Inference Examples

Feature Extraction

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