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:
- 2e55267fd5f943346967a7119cc7d10483b09d21c6f0f2064bc0d5ca549aac4f
- Size of remote file:
- 436 MB
- SHA256:
- d9ce8c58d806ed24bca41422cb717a6924304a2278660a8b55f0a65238508f18
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