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
- Xet hash:
- 7c720725691cf37a05379dff607bae5025c06ee3cc5f11cd6ac28dacaf0aed80
- Size of remote file:
- 443 MB
- SHA256:
- 000002cb8700e087dae582a978984763b92bff37385b4345c2906dd45b2feab0
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