Instructions to use vsearch/dpr-hlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsearch/dpr-hlp with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("vsearch/dpr-hlp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef7dd13e4c1d57099bbb0e50965e557bdc9d1ef83dae9e89bee0a3d83131c29d
- Size of remote file:
- 436 MB
- SHA256:
- 001664d9b1d89ad2d501b81f724ee9abc661ab9f91ac07af71adf5d45ad280c2
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