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:
- 233ba4c4ffbe23c12c336741e723a15ede206475c8773bc7734d531e7d7acc1c
- Size of remote file:
- 1 kB
- SHA256:
- e7839f5bcdd6f01519df447be4f3255b64c6bcc052f64117d14ee12522aa3c30
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