Instructions to use ytu-ce-cosmos/turkish-base-bert-punctuation-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/turkish-base-bert-punctuation-correction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ytu-ce-cosmos/turkish-base-bert-punctuation-correction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/turkish-base-bert-punctuation-correction") model = AutoModelForTokenClassification.from_pretrained("ytu-ce-cosmos/turkish-base-bert-punctuation-correction") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Citations
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# License
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# Citations
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```bibtex
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@inproceedings{saoud2024scaling,
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title={Scaling BERT Models for Turkish Automatic Punctuation and Capitalization Correction},
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author={Saoud, Abdulkader and Alomeyr, Mahmut and Amasyali, Mehmet Fatih and Kesgin, Himmet Toprak},
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booktitle={2024 Innovations in Intelligent Systems and Applications Conference (ASYU)},
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pages={1--6},
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year={2024},
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organization={IEEE}
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}
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```
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```bibtex
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@article{kesgin2023developing,
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title={Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models},
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author={Kesgin, Himmet Toprak and Yuce, Muzaffer Kaan and Amasyali, Mehmet Fatih},
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journal={arXiv preprint arXiv:2307.14134},
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year={2023}
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}
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```
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# License
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