Instructions to use Rohan-Kurdekar/Arabic_Bert_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rohan-Kurdekar/Arabic_Bert_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rohan-Kurdekar/Arabic_Bert_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rohan-Kurdekar/Arabic_Bert_Model") model = AutoModelForMaskedLM.from_pretrained("Rohan-Kurdekar/Arabic_Bert_Model") - Notebooks
- Google Colab
- Kaggle
Commit ·
d274ea8
1
Parent(s): a3c1a5c
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:e05718ddd0d3e3be74dbde6f8e52806a12c2fa82d959773d80034122895408a2
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size 334021505
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