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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bc4ca2bae34e9878a4ed870c057f4f021d8fdca82b1106ab160ca0b27465148
- Size of remote file:
- 48 Bytes
- SHA256:
- a025160ef0431f1a392f6f050c1310f4c5d9fb6f275932dbccba73c4d214bf10
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