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:
- 08f6ad77557f7545470f0f0c02d237240432c91faa1ed4b05a79f5a2c5a75db0
- Size of remote file:
- 439 MB
- SHA256:
- 17c491b3b93187ad705568fece7e2fcb9c5ef5614bd8452bd43f7551b11c8ba1
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