Instructions to use RUNorm/RUNorm-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUNorm/RUNorm-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RUNorm/RUNorm-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RUNorm/RUNorm-tagger") model = AutoModelForTokenClassification.from_pretrained("RUNorm/RUNorm-tagger") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("RUNorm/RUNorm-tagger")
model = AutoModelForTokenClassification.from_pretrained("RUNorm/RUNorm-tagger")Quick Links
Используется в https://github.com/Den4ikAI/runorm
Вы можете поддержать проект деньгами. Это поможет быстрее разрабатывать более качественные новые версии. CloudTips: https://pay.cloudtips.ru/p/b9d86686
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RUNorm/RUNorm-tagger")