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:
- 9d5a3e0b588291122ffb9085e92ee811c8805416224fd71c3902e65a97d5c9ae
- Size of remote file:
- 543 MB
- SHA256:
- eac91bc3c317f3624abb5d562f5a49180a8aa991fdb21c57ce6a5e1266968be1
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