Fill-Mask
Transformers
Safetensors
PyTorch
modernbert
entity-infilling
text-summarization
masked-modeling
Eval Results (legacy)
Instructions to use Glazkov/sum-entity-infilling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Glazkov/sum-entity-infilling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Glazkov/sum-entity-infilling")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Glazkov/sum-entity-infilling") model = AutoModelForMaskedLM.from_pretrained("Glazkov/sum-entity-infilling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload ModernBERT entity infilling model - 2025-10-17 10:17:41
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Upload ModernBERT entity infilling model - 2025-10-17 09:42:43
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Upload ModernBERT entity infilling model - 2025-10-17 09:42:43
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Upload ModernBERT entity infilling model - 2025-10-17 09:41:47
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Upload ModernBERT entity infilling model - 2025-10-17 09:41:47
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initial commit
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