Instructions to use khalidmokha/lexibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khalidmokha/lexibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="khalidmokha/lexibert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("khalidmokha/lexibert") model = AutoModelForMaskedLM.from_pretrained("khalidmokha/lexibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
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Model card: MLTools loader, Zenodo concept DOI
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6 days ago
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Model card: links
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Model card: citation
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Citation: under review
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Model card: MIT license, links, corrections
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LexiBERT release (IWCLUL 2026)
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initial commit
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