Instructions to use sultan/ArabicTransformer-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicTransformer-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicTransformer-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicTransformer-large") model = AutoModel.from_pretrained("sultan/ArabicTransformer-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9257a8479bd3344bad103912077d0a14c4a2fd81f0e98e4c88837ccbf9afc3ec
- Size of remote file:
- 1.52 GB
- SHA256:
- 94419ae8433570a87acced5047cf5f0235c0f139ea6f6e9ca56d398311245926
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