Fill-Mask
Transformers
Safetensors
Turkish
modernbert
turkish
encoder
masked-language-modeling
nlp
Eval Results (legacy)
Instructions to use ytu-ce-cosmos/modernbert-tr-base-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/modernbert-tr-base-1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ytu-ce-cosmos/modernbert-tr-base-1k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/modernbert-tr-base-1k") model = AutoModelForMaskedLM.from_pretrained("ytu-ce-cosmos/modernbert-tr-base-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix EOS mapping to id 50000 and add [RESERVED_0-6] at 50001-50007; keep tokenizer_class=PreTrainedTokenizerFast
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Add [RESERVED_0-7] tokens at ids 50000-50007; keep tokenizer_class=PreTrainedTokenizerFast
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Fix: [EOS] at 50000, add [RESERVED_0-6] at 50001-50007, vocab_size=50008
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Fix: restore [EOS] at 50000, add reserved tokens to match embedding size 50008
Verified signature49216b8 -
Add 7 reserved special tokens to match embedding size (50008)
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Upload 6 files
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