Instructions to use sultan/ArabicTransformer-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicTransformer-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicTransformer-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicTransformer-base") model = AutoModel.from_pretrained("sultan/ArabicTransformer-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd451f53aed63de98f877a1fb85069443fd809d7e5a28f29d9f45f8b492422f5
- Size of remote file:
- 768 MB
- SHA256:
- bb1eba5470ff805f3ab5b733d36077b534f4384fbc344b805d1f026e3a2ba308
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