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
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README.md
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## Training data
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- DA
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- A collection of dialectal Arabic data described in [our paper](https://
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## Training procedure
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We use [the original implementation](https://github.com/google-research/bert) released by Google for pre-training.
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## Training data
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- DA
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- A collection of dialectal Arabic data described in [our paper](https://arxiv.org/abs/2103.06678).
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## Training procedure
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We use [the original implementation](https://github.com/google-research/bert) released by Google for pre-training.
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