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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 801ba0fe9fed282c722ce4731dc5e7a96422408dade6fdb60079347108fc1026
- Size of remote file:
- 522 MB
- SHA256:
- dd055e2e4e5a9cbf057d4c56910c1bc244513c1998e49d32b7cb559a37ff88f3
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