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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-large-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-large-arabertv2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7f4f1b0a31c1eb9456cce11bd4f95be477fff0ce) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>345ef02
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added tensorboard logs
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upload flax model
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allow flax
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added max_len
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