Fill-Mask
Transformers
Safetensors
Turkish
English
modernbert
masked-lm
long-context
turkish
code
mathematics
Instructions to use boun-tabilab/TabiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boun-tabilab/TabiBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boun-tabilab/TabiBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boun-tabilab/TabiBERT") model = AutoModelForMaskedLM.from_pretrained("boun-tabilab/TabiBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679ce16128d0a203d8dc15ca/pTl7fMa1WLQDxMfohm9eT.png" alt="TabiBERT" width="500"/>
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📄 **Paper**: [TabiBERT:
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💻 **Code**: https://github.com/boun-tabi-LMG/TabiBERT
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679ce16128d0a203d8dc15ca/pTl7fMa1WLQDxMfohm9eT.png" alt="TabiBERT" width="500"/>
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📄 **Paper**: [TabiBERT:A Large-Scale ModernBERT Foundation Model and A Unified Benchmark for Turkish](https://arxiv.org/abs/2512.23065)
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💻 **Code**: https://github.com/boun-tabi-LMG/TabiBERT
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