# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org")
model = AutoModelForTokenClassification.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org")Quick Links
Fine-tuning cointegrated/rubert-tiny model on sentences from Wiki auto annotated with PER, LOC, ORG tags corus/WiNER
language: RU
NER Class:
- PER
- LOC
- ORG
license: mit
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tesemnikov-av/NER-RUBERT-Per-Loc-Org")