Instructions to use mustapha/QuranExe-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mustapha/QuranExe-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mustapha/QuranExe-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mustapha/QuranExe-bert") model = AutoModelForMaskedLM.from_pretrained("mustapha/QuranExe-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b442418522d73b15a3ea4cb29201441e8ecd87c33e41c36637a2cc6f1b015b1e
- Size of remote file:
- 541 MB
- SHA256:
- 43e90750f31fbdbb5422e938e2318d2bfea20152811b5bf6dcde279c1ed13231
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