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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:92c41a6809bc6e8f6fb19e7c10d09a951ad2d74808c3d79ce4a32b02ba9685dc
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size 440180680
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