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seleznevchamp1/rubert-base-cased-NER-Matkin
rubert-base-cased-NER-Matkin is a machine learning model from seleznevchamp1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
--- language: ru tags: - NER - baseline - ruBERT - DeepPavlov license: mit datasets: - custom: hh.ru metrics: - f1 ---
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From the Hugging Face model README
language: ru tags:
Baseline model reproduced from Matkin et al. (2024), fine-tuned for Skill and Knowledge extraction.
Base model: DeepPavlov/rubert-base-cased
Training: NER fine-tuning with augmentation (500 samples).
F1: 0.67
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
model = AutoModelForTokenClassification.from_pretrained("seleznevchamp1/rubert-base-cased-NER-Matkin")
tok = AutoTokenizer.from_pretrained("seleznevchamp1/rubert-base-cased-NER-Matkin")
nlp = pipeline("ner", model=model, tokenizer=tok)
print(nlp("Требуется знание Python и опыт управления командой"))