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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a23070eb802d5b354237d146e1acf6326e09cf859b096fd2b7f8c93a15d7091
- Size of remote file:
- 738 MB
- SHA256:
- 852b7d3f4c1482cf4ec1b68dc711ea4b102ba96a57ecbccc8222cbd31537bc62
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