| library_name: transformers | |
| tags: [] | |
| # Zerpal-rubert-tiny2-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-rubert-tiny2-pos-tagger", tokenizer="udmurtNLP/zerpal-rubert-tiny2-tokenizer", grouped_entities=True) | |
| result = classifier(text) | |
| ``` |