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:
- 06f980110d08502ac8255cbdec1a7fd4c8410b2b5bdd4caa916b80cf947eb6fb
- Size of remote file:
- 1.64 kB
- SHA256:
- 9c0a42643f90b13d163c5ccb05ed1ff4652a98891d57a5582362aca51496d377
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