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seleznevchamp1/ruroberta-large-NER-augmented
ruroberta-large-NER-augmented 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 - RoBERTa - domain-adaptation - augmentation - job-postings license: mit datasets: - custom: hh.ru metrics: - f1 ---
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From the Hugging Face model README
language: ru tags:
Best-performing model for extracting Skill and Knowledge entities from Russian job texts.
Base model: ai-forever/ruRoBERTa-large
Training: MLM on 9,329 job postings + NER fine-tuning with augmentation (500 samples).
F1: 0.69
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
model = AutoModelForTokenClassification.from_pretrained("seleznevchamp1/ruroberta-large-NER-augmented")
tok = AutoTokenizer.from_pretrained("seleznevchamp1/ruroberta-large-NER-augmented")
nlp = pipeline("ner", model=model, tokenizer=tok)
print(nlp("Необходимо знание Python и управление проектами"))