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:
- bd70997168f11c5d95c9d850631f11dcac8de356e5fafe516fccc4670224d6cb
- Size of remote file:
- 3.38 kB
- SHA256:
- 764c732ba9067372c1d058c30f845a6d76ec8a06ffaa54ec47a3dbcd91bcd07e
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