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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5f89531
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:7295a5bf0e3fec438eb0ad996240a40dfed769fa3c12636925289f5a3969300e
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size 541042787
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