Instructions to use vsearch/vdr-cross-modal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsearch/vdr-cross-modal with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("vsearch/vdr-cross-modal", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 764e4c91813749ccb65e9e0c3b6d4a4fe0bb9162f3db7fa86adb7e07ae0f1ea5
- Size of remote file:
- 870 MB
- SHA256:
- ff04580b55202e3fa292237f3375e1c16da4293be48504f8e805cacf437b8dcf
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