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:
- 8ee4db8d97278d4254f60ee997845ebf5a554f62f25836e7e5a0923ae5d05c43
- Size of remote file:
- 5.5 kB
- SHA256:
- 056c41596cd6275b67337bd7f73a937b24796afd009f90bb72589acc43e51b19
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