Token Classification
Transformers
PyTorch
Turkish
bert
punctuation restoration
punctuation prediction
Instructions to use uygarkurt/bert-restore-punctuation-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uygarkurt/bert-restore-punctuation-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="uygarkurt/bert-restore-punctuation-turkish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("uygarkurt/bert-restore-punctuation-turkish") model = AutoModelForTokenClassification.from_pretrained("uygarkurt/bert-restore-punctuation-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uygarkurt/bert-restore-punctuation-turkish: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/uygarkurt/bert-restore-punctuation-turkish/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uygarkurt/bert-restore-punctuation-turkish/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uygarkurt/bert-restore-punctuation-turkish/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- df2fd16ba583f70b038bbe0de748e1c5b53f2f01eff271ab2be1b54e5a7a08b7
- Size of remote file:
- 440 MB
- SHA256:
- c44184c34c50a01bd8546c232bcb33152b378a4c0d8355d13ae8a66f53aa0c70
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