Edit model card

Zerpal-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-mbert-pos-tagger", tokenizer="udmurtNLP/zerpal-mbert-tokenizer", grouped_entities=True)
result = classifier(text)
Downloads last month
5
Safetensors
Model size
187M params
Tensor type
F32
·
Inference Examples
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.

Collection including udmurtNLP/zerpal-mbert-pos-tagger