Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-msa-half 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-msa-half 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-msa-half")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-half") model = AutoModelForMaskedLM.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-half") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dabff6cc6b494f7db134a88e37c8513ece5aab828359d9f84c9d331ec0369e58
- Size of remote file:
- 436 MB
- SHA256:
- fdce427eb019f5da0b979178f341ecb48247290055f3bb480822d9c4d7cf4778
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