Instructions to use aubmindlab/bert-base-arabertv01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv01")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv01") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (911d0817e6632934303ed0ef716d6e48e874b4e9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>eb7a979
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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/aubmindlab/bert-base-arabertv01/README.md50812b5
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