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:
- 375b80362b8b70736b579541cf93a34ea8212de7ae2bad5a6a5ed761a1b88547
- Size of remote file:
- 543 MB
- SHA256:
- 028d1fcf9237a004104eee90592d890d8ab75076be932a7c88154e1ebf38ff90
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