Instructions to use KocLab-Bilkent/BERTurk-Legal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KocLab-Bilkent/BERTurk-Legal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KocLab-Bilkent/BERTurk-Legal")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KocLab-Bilkent/BERTurk-Legal") model = AutoModelForMaskedLM.from_pretrained("KocLab-Bilkent/BERTurk-Legal") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -40,4 +40,10 @@ If you use the model, please cite the following conference paper.
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number={},
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pages={1-4}
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}
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```
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number={},
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pages={1-4}
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}
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@mastersthesis{ozturk23legalNlp,
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author = "\"{O}zt\"{u}rk, Ceyhun E.",
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title = "Retrieving Turkish Prior Legal Cases with Deep Learning",
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school = "Bilkent University",
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year = "2023"
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}
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```
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