Instructions to use aubmindlab/bert-base-arabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabert") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabert") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b8c62fc93fe3cbd9b6efe7206ff8928d9fef6a483fe1bb14efe3c9681e6da21
- Size of remote file:
- 541 MB
- SHA256:
- c24856665099e9bf4f760178c8ca06f1f8e3a0a0b1154ddea3436e9ac20f356a
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