Instructions to use sultan/ArabicTransformer-large-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicTransformer-large-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicTransformer-large-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicTransformer-large-encoder") model = AutoModel.from_pretrained("sultan/ArabicTransformer-large-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c0fa1de579b6b9cdf5e3027c1645d7930ca2b167823b3615b60e1b1e7f8d3be
- Size of remote file:
- 1.52 GB
- SHA256:
- dd1c31bc9ab7260edff940dd6855b186ddfcfec6d87be82c49b74682f8c9a1aa
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