Instructions to use aubmindlab/bert-base-arabertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93179c3d28ff3aa0980584c830893dfbf1c6313b958666777c2836687d5d1f5e
- Size of remote file:
- 742 MB
- SHA256:
- 60df36bca5cdedf3ce1de78dd35a26d58427351531993c675cc1771a98cb9458
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