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:
- 221c04a2581f2aba71107ab4eab965db8c4b068ecd203c4fe5616d8d1d86b9b5
- Size of remote file:
- 439 MB
- SHA256:
- 8c4f14f11b596eda81eae5f5dc42840a8965bb44228bdc6cb236444527a4c729
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