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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dacdb12f709a00b2da74894a97112535ef06aa5b096d066fb6023fe695c83ea7
- Size of remote file:
- 505 MB
- SHA256:
- 38d3200f86bb1934c7d2ebc844f3743f573482eebfc952e1da6a7c29f54f2426
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