Instructions to use bashar-talafha/multi-dialect-bert-base-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bashar-talafha/multi-dialect-bert-base-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bashar-talafha/multi-dialect-bert-base-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bashar-talafha/multi-dialect-bert-base-arabic") model = AutoModelForMaskedLM.from_pretrained("bashar-talafha/multi-dialect-bert-base-arabic") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:341182414b5693d7eb1f779de1033c3d40f05032f13e3d4ea26c2b84376e7ee4
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size 445015160
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