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")# pip install -U transformers accelerate # 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
Download ArabicTransformer6-6-6-TF.zip from sultan/ArabicTransformer-base: direct link, hf CLI and curl.
- Browser
- Download file 2.23 GB
-
https://huggingface.co/sultan/ArabicTransformer-base/resolve/main/ArabicTransformer6-6-6-TF.zip
- Command line
-
hf download hf://sultan/ArabicTransformer-base/ArabicTransformer6-6-6-TF.zip
-
curl -L -o ArabicTransformer6-6-6-TF.zip https://huggingface.co/sultan/ArabicTransformer-base/resolve/main/ArabicTransformer6-6-6-TF.zip
2.23 GB
- Xet hash:
- 351277c74b70dfd665bd5819fc82227331838061e50b7c2a3f8adc22baf5c221
- Size of remote file:
- 2.23 GB
- SHA256:
- 610ad1dff563a5d03269c4ec7940ef72b4298a484e3c56341838fc0849fd41f7
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