Instructions to use asafaya/bert-mini-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asafaya/bert-mini-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="asafaya/bert-mini-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("asafaya/bert-mini-arabic") model = AutoModelForMaskedLM.from_pretrained("asafaya/bert-mini-arabic") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 021918fc4339eee3dc091bc48447e267469e535629d8ed944d0c43ec1abe2a74
- Size of remote file:
- 46.3 MB
- SHA256:
- c7a16e14f0439d52b7af3b7e78f2b26e520d2d51156a627ab76f3a9e84c6d94e
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