Instructions to use ukr-models/uk-punctcase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ukr-models/uk-punctcase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ukr-models/uk-punctcase")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ukr-models/uk-punctcase") model = AutoModelForTokenClassification.from_pretrained("ukr-models/uk-punctcase") - Notebooks
- Google Colab
- Kaggle
Model Description
Fine-tuning of XLM-RoBERTa-Uk model on Ukrainian texts to recover punctuation and case.
How to Use
Download script get_predictions.py from the repository.
from transformers import AutoTokenizer, AutoModelForTokenClassification
from get_predictions import recover_text
tokenizer = AutoTokenizer.from_pretrained('ukr-models/uk-punctcase')
model = AutoModelForTokenClassification.from_pretrained('ukr-models/uk-punctcase')
text = "..."
recover_text(text_processed, model, tokenizer)
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