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
Download optimizer.pt from gyenist/hupunct: direct link, hf CLI and curl.
- Browser
- Download file 880 MB
-
https://huggingface.co/gyenist/hupunct/resolve/main/optimizer.pt
- Command line
-
hf download hf://gyenist/hupunct/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/gyenist/hupunct/resolve/main/optimizer.pt
880 MB
- Xet hash:
- 2987fdb7d89fb47e74be76fbc9bd0a98d03af4382bcc8eae87e78625b76628e8
- Size of remote file:
- 880 MB
- SHA256:
- b2db5a551d3511a1f1fa2d3836f3f8170aab0657401cfefc5d33be7e2669c566
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