Instructions to use aubmindlab/bert-base-arabertv01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv01")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv01") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7723214605afcfd8badd8b49830f5937b1644e043ef28042d708c89b788b872
- Size of remote file:
- 742 MB
- SHA256:
- c9abeaf2821d06ec97d8902b57a83030cf4de8df2850f26dc69df128d4fa4e65
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