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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff97e43a69630c7c3ffdc8986b0e656f4321e3c899d76d8f2b31080b3276cc9d
- Size of remote file:
- 543 MB
- SHA256:
- a5c837770e94da19caa69fada6d660572ec33cd79e8b8b0e342fbeaace648f29
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