Instructions to use NAMAA-Space/AraModernBert-Base-V1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/AraModernBert-Base-V1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NAMAA-Space/AraModernBert-Base-V1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/AraModernBert-Base-V1.0") model = AutoModelForMaskedLM.from_pretrained("NAMAA-Space/AraModernBert-Base-V1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d8ff0d0041392c92451ec15dccbe2066fef8ac06bff1712b391dffb281e4716
- Size of remote file:
- 1.2 GB
- SHA256:
- 273928ccd41804c6dfc50751611e43755718409e53d5ed60ba1ed640280dfee2
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