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zerpal-glot500-pos-tagger
udmurtNLP/zerpal-glot500-pos-tagger
zerpal-glot500-pos-tagger is a feature extraction model from udmurtNLP. Use it when you need embeddings to search or compare text. It is set up for transformers.
You can use this model directly with a pipeline for NER:
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Jun 8, 2024
- SHA
- d90e58e4
Model card
From the Hugging Face model README
Zerpal-Glot500-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-glot500-pos-tagger", tokenizer="cis-lmu/glot500-base", grouped_entities=True)
result = classifier(text)
- Task
- Feature Extraction
- Library
- transformers
- Type
- xlm-roberta
- Created
- Apr 25, 2024
- Updated
- Jun 8, 2024