Instructions to use vsearch/vdr-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsearch/vdr-msmarco with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("vsearch/vdr-msmarco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13e51860e6575fb26b63fd90472bb9ab35bb8981547ecd4b1518af181f5c50a0
- Size of remote file:
- 871 MB
- SHA256:
- b2080f7bb7865baa3e981028d019a67a99cce8e2ffb40ab8559cfb0dae48d62a
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