Instructions to use aubmindlab/bert-base-arabertv02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv02")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv02") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv02") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e18ae9dfe784237543f3024b05795221ee4f6259dd8accfddb4d99b200cc0fef
- Size of remote file:
- 541 MB
- SHA256:
- e0bbd3dffdc55c7adccafaf9c18eaaf2e992bb87e4787d4f580314a5b383e634
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