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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee48edd2c9cc5a92767dfe92502762b193ccf71c42a475d745713b3bf209c5fb
- Size of remote file:
- 3.64 kB
- SHA256:
- 4b2b2a18f45dfc6fb37faa55b622c816a695cad2c7d18de94a73dafaf2430922
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