Instructions to use udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger") model = AutoModel.from_pretrained("udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger") - Notebooks
- Google Colab
- Kaggle
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)
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