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:
- 0fb79a24184f9b932e0cdc702794d83d6d94d494d108ca4bd336fc5cadf9ddf6
- Size of remote file:
- 15 kB
- SHA256:
- 931c07f6b3a80b63cf2e8ec2b0f2ec4991b1fb13d423da81b46eba439358e5c6
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