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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aubmindlab/bert-base-arabertv2: direct link, hf CLI and curl.
- Browser
- Download file 2.31 MB
-
https://huggingface.co/aubmindlab/bert-base-arabertv2/resolve/refs%2Fpr%2F3/tokenizer.json
- Command line
-
hf download hf://aubmindlab/bert-base-arabertv2@refs/pr/3/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/aubmindlab/bert-base-arabertv2/resolve/refs%2Fpr%2F3/tokenizer.json
2.31 MB
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