Zerpal-original-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-original-rubert-tiny2-pos-tagger", tokenizer="cointegrated/rubert-tiny2", grouped_entities=True)
result = classifier(text)

Downloads last month: 2

Safetensors

Model size

29.2M params

Tensor type

F32

Inference Examples

Feature Extraction

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.