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:
- d0205e21986fb18a44ca39ebd0a91ecc18e64a0a0da5bb4e565bb416ceb2c3a7
- Size of remote file:
- 707 MB
- SHA256:
- df696c71bec8516b4f7679534ab5b4a240fa828a95e584300986e9c3e8e22c30
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