Instructions to use aubmindlab/bert-large-arabertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-large-arabertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-large-arabertv2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-large-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-large-arabertv2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b7cf43f776c896808030f627e87622b0459ca4e310f5f60b7ea24d31701618e
- Size of remote file:
- 1.48 GB
- SHA256:
- 9fc5e09defc63dd8c1216587d61094b1ea3173a6a6bd91304360f39607323412
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