Instructions to use abdoelsayed/AraDPR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdoelsayed/AraDPR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abdoelsayed/AraDPR")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abdoelsayed/AraDPR", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d6e858ce6e922652ff0f12e7fe1a4ceef5f55c782289589cdd78e04c0f713b2
- Size of remote file:
- 711 MB
- SHA256:
- 5a270ac41d32e26aa4f41ba4090d2ce5f49b4993630bf1b93a8444139e48eadc
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