Zerpal
Collection
The largest open-source Udmurt monolingual corpora and pre-trained language models • 12 items • Updated • 1
How to use udmurtNLP/zerpal-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-rubert-tiny2-pos-tagger") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("udmurtNLP/zerpal-rubert-tiny2-pos-tagger")
model = AutoModel.from_pretrained("udmurtNLP/zerpal-rubert-tiny2-pos-tagger")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-rubert-tiny2-pos-tagger", tokenizer="udmurtNLP/zerpal-rubert-tiny2-tokenizer", grouped_entities=True)
result = classifier(text)