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:
- 46d2f7e95414d49ffa598f261e59a333d9dee707f04be19b5a6d7c2dda122aa6
- Size of remote file:
- 1.48 GB
- SHA256:
- 185cbd41d82595749bbf6420f266a857c6f67b240474716302f9a51168c430f2
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