Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-msa 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa") model = AutoModelForMaskedLM.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40c9068a4cad4b500c9ec59cde3c5d60065b9ee5cb7ea1dd5898dd826d9e6889
- Size of remote file:
- 439 MB
- SHA256:
- 9722aea92b8d982e84b9234319d8e1da5ac690c7f1cb587d0f98322a06473196
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