Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da 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-da 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-da")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da") model = AutoModelForMaskedLM.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67f5e7bb7177ce441ae8912445358ed4297310d9c6714a95f54bb6a38875e7d7
- Size of remote file:
- 437 MB
- SHA256:
- 22f384e3531575df72e564b151f68681e443252189e4dd4c8cc3be40f3ab81f1
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