# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("qwazer/rubert-address-elements")
model = AutoModelForTokenClassification.from_pretrained("qwazer/rubert-address-elements")Quick Links
Model for https://github.com/qwazer/ruaddress-elements-classification research project
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Base model
cointegrated/rubert-tiny2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="qwazer/rubert-address-elements")