Instructions to use RUPunct/RUPunct_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUPunct/RUPunct_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RUPunct/RUPunct_medium")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RUPunct/RUPunct_medium") model = AutoModelForTokenClassification.from_pretrained("RUPunct/RUPunct_medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec393bfd317f93676b0b44ae37c8f222b93b8abf784dc987594d571584ea0b8b
- Size of remote file:
- 340 MB
- SHA256:
- 68585d10327b336227247d5de9f27aba4d73e78f53f981e9d4d5c67617d281cc
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