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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e465c5a17563e8ba3bd5f7c44a5bf7486d5db4d581896bda7e21d6a2f640d18
- Size of remote file:
- 543 MB
- SHA256:
- 01cecde450150375bc426ccc5f3f86feb32cdc22998da707d3694da6fe7a4999
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