Token Classification
Transformers
PyTorch
Safetensors
Hungarian
bert
punctuation
punctuation_restoration
hungarian
hungarian web corpus
punctuation restoration
központozás
Instructions to use gyenist/hupunct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gyenist/hupunct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gyenist/hupunct")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gyenist/hupunct") model = AutoModelForTokenClassification.from_pretrained("gyenist/hupunct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d345103036fcc0e9f0457f0a6b23fc484dc68a5a831b7ea435408969d5406f1
- Size of remote file:
- 440 MB
- SHA256:
- b7cc21ab4321fa96c3839c0400567c8c9b3518607ab630b2795a24bde9229079
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