Instructions to use BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA") model = AutoModelForMaskedLM.from_pretrained("BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319c9f863ba85549a051cda008d592e2ec3f4cb144534d24cc3b0816dc6bedea
- Size of remote file:
- 330 MB
- SHA256:
- 1b1463c6d235f80c2acff0acad0509b4933bd5b2ab9f6e7be0c8478855344e1e
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