Instructions to use sultan/ArabicTransformer-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicTransformer-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicTransformer-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicTransformer-small") model = AutoModel.from_pretrained("sultan/ArabicTransformer-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddc404b77c00dc64a9757f1560207ada8aaa931abbb3b877be1fa1c7e2118844
- Size of remote file:
- 584 MB
- SHA256:
- 0f6651df0b2be2af8426494bebb773bd951d9abaf1bb01382f868edf881cd740
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