---
library_name: transformers
tags: []
---

# Zerpal-original-Glot500-pos-tagger

## How to use

You can use this model directly with a pipeline for NER:

```py
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)
```