Instructions to use asafaya/bert-medium-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asafaya/bert-medium-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="asafaya/bert-medium-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("asafaya/bert-medium-arabic") model = AutoModelForMaskedLM.from_pretrained("asafaya/bert-medium-arabic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7acef540f8106c5eba53a850efd560490dc87e47b0275c5764d147a0480be97
- Size of remote file:
- 169 MB
- SHA256:
- f8ff7f7fd54798bb74a2a5f26eb067e6e7b3f92e4d5f92071b27367c1fb2d163
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