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
Commit ·
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Parent(s): 78f9e2b
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:de41a4a649abc9d4c4cae41d29a921d41f301b2cdc51692a8d238832c5a2987b
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size 541042787
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