Instructions to use jzhoubu/dpr-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzhoubu/dpr-nq with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("jzhoubu/dpr-nq", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4415e3b013ce98d795ce88f37c99328d607e2ed2f8bfbe7b2619be2377216dd6
- Size of remote file:
- 871 MB
- SHA256:
- 260dd40bccffd5a2ca0d487901d43a3bc68d6aeb171c7cf79fca3f0170edb7e8
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