Instructions to use abdalrahmanshahrour/ArabicQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdalrahmanshahrour/ArabicQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abdalrahmanshahrour/ArabicQA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("abdalrahmanshahrour/ArabicQA") model = AutoModelForQuestionAnswering.from_pretrained("abdalrahmanshahrour/ArabicQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 569915a21b1ade98943cb8f140e6cc442aac865e7cde313a83d91afe1ff1e23a
- Size of remote file:
- 440 MB
- SHA256:
- 74efe630796f4941ad96c49ce3fee40a7e2bee1ff937f974f31727d4f528f08f
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