Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/bert-base-arabic-camelbert-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CAMeL-Lab/bert-base-arabic-camelbert-ca")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca") model = AutoModelForMaskedLM.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe1b191a08532ad83c28390bf9b5558d01d092897cc367fd5b5319d1f27c788f
- Size of remote file:
- 437 MB
- SHA256:
- 842b438f363ad2215b61f6bccf01e060ba73aa7764b73ae1533e69605fc3049c
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